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Paper Citation Record · LEDGER

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control

As of 8 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 2 inbound Pith citation observations for arXiv:2506.20554.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.20554 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:54:34.114513Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:40:08.955364Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T08:06:00.027311Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact0
  • verified fuzzy67
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88480f3e-4b83-4206-90e7-43cca448eaab · outbound

This paper cites BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:26.313453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:26.313453Z digest=sha256:e768488630abbef54b6dd8bb1f6daabc01b597e307897ee0fa870daab1c042c4

Observation fd101078-fa59-4f5c-bc3c-5f36d55eec69 · outbound

This paper cites Wind Energy 13(6):573–586.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 13(6):573–586

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.349850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:26.389927Z digest=sha256:44fb4b65b75073895a41ae1fa560de8b5767e2d6e2bc88b48775b76fb2e2737a

Observation dd850258-3010-497c-8b47-77c9cc922047 · outbound

This paper cites Wind Energy 12(5):431–444 17.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 12(5):431–444 17

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.340881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:26.484347Z digest=sha256:5c0bafcdce52e4ffcde3aca904d5a3986ec848a40af0588206ae574f9348bc86

Observation d0a906db-9177-495f-bbb4-87b354f2a4c3 · outbound

This paper cites SoftwareX 12:100550.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control SoftwareX 12:100550

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.332313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:26.587915Z digest=sha256:abfebf7fbd14fca1a3717ac38018f8bf8447499d955170ceafb14cd88bb15406

Observation 8511dacb-9493-4b51-83aa-b16b2f5f5940 · outbound

This paper cites Renewable Energy 70:116–123.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Renewable Energy 70:116–123

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.323006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:26.740147Z digest=sha256:dd519d304e9743241af0da4ff8aedb753a88d42b801d9ef285aacfb5ac5ac2c0

Observation 0db856a0-749a-4850-87b1-461a5bec221b · outbound

This paper cites URL https: //doi.org/10.5281/zenodo.14507040.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control URL https: //doi.org/10.5281/zenodo.14507040

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:26.936648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:26.936648Z digest=sha256:50eccab69da6ef110656c10ccabe9e93e05b65d26fd8eb0e2144022ab9147789

Observation 3ba4b8ab-68f7-418a-a5cc-091e714d4ede · outbound

This paper cites Journal of Fluid Mechanics 955:A12.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluid Mechanics 955:A12

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.314177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:27.083514Z digest=sha256:08839e50afa06107163f6dc01db230df7fd29b66634fe70f41326ba65a816246

Observation ae866de2-fa6b-48ec-b523-57c46eccaeba · outbound

This paper cites Wind Energy Science 9(4):869–882.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 9(4):869–882

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.305154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:27.234637Z digest=sha256:9b0a51a2237aec6cb23f490e8170fd89a68082cddb319a569ebaa2385aa58ada

Observation c97fb153-3de3-4c4d-90b6-c73dafa6239b · outbound

This paper cites TorchRL: A data-driven decision-making library for PyTorch.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control TorchRL: A data-driven decision-making library for PyTorch

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:27.361844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:27.361844Z digest=sha256:e1c3bcc4c00a5f799c535dba95340c1f42d5ee383663caace99ad9a0f1b33bb3

Observation 92ed5997-1673-4181-ae48-af98792f70cb · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:54:42.296199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:27.547243Z digest=sha256:4a370bb5cacc607f28ccaf68ebd225d5dfe91749b2dcee4160633a8607c2ae56

Observation b1f691b0-0e42-4f3f-8d76-d6d840efa9d0 · outbound

This paper cites Physics of Fluids 22(1):015110.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Physics of Fluids 22(1):015110

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.287486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:27.715224Z digest=sha256:8b88cd336f682bdf8fad3675a1204223f44e3ff87e8a0a942e50eca5b38616a1

Observation cb682a8e-e5f9-4678-a5da-6a9a41201dbf · outbound

This paper cites In: Kuerten H, Geurts B, Armenio V, et al (eds) Direct and Large-Eddy Simulation VIII.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: Kuerten H, Geurts B, Armenio V, et al (eds) Direct and Large-Eddy Simulation VIII

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.278070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:27.885945Z digest=sha256:ab5b0eeb83f2773735a6caafc15dfa9151c47df32e892045c95ad8f16d1b53fc

Observation 0ceaeaff-a73c-456c-bbd9-c3bac8d91c28 · outbound

This paper cites Physical Review Fluids 9(4):043902.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Physical Review Fluids 9(4):043902

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.267828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:28.047392Z digest=sha256:d9278c1255950e57af343b6fe3d7f03fad68a35cd452ef87a710597ec515cb0d

Observation ea5ae774-4a04-4d68-8574-74689bc7d377 · outbound

This paper cites Nature 602(7897):414–419.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature 602(7897):414–419

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.258108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:28.182971Z digest=sha256:de334a7e53e1b42a0ee05c1b5dee29c797481af5faf3a39ccb1cbe606bbfd9cc

Observation 076495bb-8a9b-4abd-ac79-594398aaf284 · outbound

This paper cites Wind Energy.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.248368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:28.330666Z digest=sha256:07f6d28d3c0e71da6688b9e47cbe50d33f8abc15b536ca688855b432ac1b9fdd

Observation 71cbc9bb-2e02-43dd-914f-f161030436d9 · outbound

This paper cites Applied Energy 292:116928.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Applied Energy 292:116928

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.238472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:28.474409Z digest=sha256:5749c89eaa1d563ad48eed5387583eef2846dfe78ab7a539592c1f1ac4ce8e31

Observation 8e7045e1-795a-4564-b85e-c9fb7576f454 · outbound

This paper cites Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476(2238):20200097.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476(2238):20200097

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.228744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:28.535816Z digest=sha256:f189d0ac5cd2b399af02d88f07d8b924291c704745bba0c8a8b77256cd67fcf9

Observation 93358dc2-a0e6-49f0-95b7-c101cdf95f62 · outbound

This paper cites Nature Communications 16(1):1422.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature Communications 16(1):1422

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.218771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:28.756900Z digest=sha256:86fb7f616948379073582c7f1202bb2d7f067ffd786f61598524c0b6e8a3264b

Observation 2b6f9913-4362-482d-9141-55155e3878fd · outbound

This paper cites Wind Energy 23(8):1739–1751.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 23(8):1739–1751

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.209475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:28.854723Z digest=sha256:c21bf8f7a62752732bb60e3fd33f351a9f5f22f15012c8bfde1a93d8236db1c5

Observation cb87cd2a-ab88-4055-968f-c41bee3e260d · outbound

This paper cites In: International conference on machine learning, PMLR, pp 1587–1596 18.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: International conference on machine learning, PMLR, pp 1587–1596 18

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.200456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:28.951897Z digest=sha256:e1915defe62f6cdeec04129da1c3db5e1b947dce89c159fce39f766810682238

Observation f2e45bb0-e90b-4bdc-b7ee-8930cde84774 · outbound

This paper cites Nature Communications 14(1):6480.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature Communications 14(1):6480

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.190952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.050890Z digest=sha256:d9c8a4dff7d440ed3cff306292008c39c155a21cdae02acb915cbfd7ec257242

Observation bbc78d07-13b7-47a5-bae0-27dcf661127c · outbound

This paper cites Journal of Fluid Mechanics 768:5–50.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluid Mechanics 768:5–50

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.181568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.136179Z digest=sha256:a58f30990534bfe2172d77d2b52fbe951fbd01c17b6cf1f142950fe4d2465d5c

Observation 4a9b2901-f5f5-40bf-b96a-d60780c34f5d · outbound

This paper cites In: International conference on machine learning, PMLR, pp 1861–1870.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: International conference on machine learning, PMLR, pp 1861–1870

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.172186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.221592Z digest=sha256:1b8bef4cbb89154a2123d156fd4f63c7d3fbd0218e614c7d92339573f5dbf005

Observation 2592c642-b5f0-4b9f-8b2c-38a157baa8bf · outbound

This paper cites Frontiers in Neurorobotics 17:1127642.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Frontiers in Neurorobotics 17:1127642

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.162922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.327470Z digest=sha256:3282aefab50e8261679d420903518239a9d67c9f68bb1143438d16d15af3da0a

Observation 6f495794-cc4c-4df5-80a9-9fcb8ee6d2df · outbound

This paper cites Nature Energy 9(6):735–749.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature Energy 9(6):735–749

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.153870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.413711Z digest=sha256:3d882b7c525efb820febc327629c606688e90329b1dd24537b1c634963de0817

Observation 781f7e0b-2d19-42f3-9913-079be44b9906 · outbound

This paper cites International Journal of Electrical Power & Energy Systems 143:108406.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control International Journal of Electrical Power & Energy Systems 143:108406

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.143352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.505467Z digest=sha256:369e6fd95e0e7fcecf697fde22095e83fd8c700d4731f02ec8a2d87ba54627e9

Observation 51d7a3e4-5479-4b98-ae4c-52cabe38ef60 · outbound

This paper cites Wind Energy 25(2):195–220.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 25(2):195–220

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.133293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.602069Z digest=sha256:4cb3881e0cf95af9c4a6468872bc2fb9829b1d4d84c2420a43987fc86243aa28

Observation 5a18cdd9-8602-4b4f-8e15-70a44a046ec0 · outbound

This paper cites MIT Press 2:39–47.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control MIT Press 2:39–47

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.122349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.704516Z digest=sha256:d07d8a392b5abce14ceca90eca55640d6b2a02c71930b7777dfb98582888263c

Observation 372b7839-10eb-4215-994e-9bd6f4ea9423 · outbound

This paper cites Wind Energy Science 5(4):1315– 1338.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 5(4):1315– 1338

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.112108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.806244Z digest=sha256:a43ce7cddacfeb8992806e8369589f504b7471a1cfa398081baeb9da11a6cf66

Observation 930e0dcc-3e0d-4cde-bc7d-40e9db7b0c72 · outbound

This paper cites Nature Energy 7(9):818–827.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature Energy 7(9):818–827

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.102550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:29.997085Z digest=sha256:c3abbe04a497146e55f3f8703a62c22babaa681c95646d666111435678018c5d

Observation a0dde3f7-4e12-4659-b1ce-c284ad6d5c0d · outbound

This paper cites URL https://www.iea.org/reports/net-zero-by-2050.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control URL https://www.iea.org/reports/net-zero-by-2050

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.092771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.112482Z digest=sha256:6f3f7bcdf087a8df596f4df29342bf103bee4777e1d48d6b613ba531c94c8798

Observation 019d9463-b864-4cfe-b06e-7815643cfb82 · outbound

This paper cites Wind Energy p e2946.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy p e2946

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.083478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.235760Z digest=sha256:4610eb6e441b90ecd745b25bda253dd392f3bbebb05fe3547f7098770ee9b3e5

Observation 76467d2b-708d-4ec0-8d40-f52001d59d00 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:54:42.043950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.324437Z digest=sha256:029b3e7eaf238d3b03615ec4138e900223818f35429c9eadea214a7cc1f83951

Observation 2d200abb-0ca2-4625-8f79-b5c2aeab925e · outbound

This paper cites Wind Energy 13(6):559–572.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 13(6):559–572

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:41.667425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.454943Z digest=sha256:4a16c8ac7f1223ce0303344f391c14d1769cb91c91893b980a0ee1688fc1567b

Observation 042adec8-87c3-43ba-94e5-b90c9f207d5a · outbound

This paper cites Journal of Global optimization 13:455–492.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Global optimization 13:455–492

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:41.407360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.520120Z digest=sha256:55dbd057a04c6b4677982e57d32d6cd5c45878bbc559e45bd1b906a7dab1804d

Observation 4a826988-486e-4142-90ee-1de505051dc9 · outbound

This paper cites Wind Energy Science 2(1):115–131.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 2(1):115–131

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:41.216336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.598645Z digest=sha256:834ae2f129bc6dad349e609f211f5419635ef329469b0f06ea867664721c4ac0

Observation 253c2674-c76f-499c-be34-30a6385f5069 · outbound

This paper cites The International Journal of Robotics Research 32(11):1238–1274 19.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control The International Journal of Robotics Research 32(11):1238–1274 19

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.948127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.706064Z digest=sha256:9ceacff4d809dc4bef4ac369fe39053c6a492e4d9c2562fd93b683091f331d52

Observation b1839d3c-6f68-459f-9345-c0ecc26340d0 · outbound

This paper cites Journal of Physics: Conference Series 1934(1):012022.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Physics: Conference Series 1934(1):012022

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.816755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.794579Z digest=sha256:18951abd8e370ed10bcb6f41f861502652001a4aa53893588b052ea22a74e90a

Observation 25be18c8-fa34-4f3a-9893-7ed86f3cf74c · outbound

This paper cites Journal of Computational Physics 228:5989–6015.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Computational Physics 228:5989–6015

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.772515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.884841Z digest=sha256:a13c2731837aa22a11e1f710abefb2623369fe66cdba7c2380f28503b4a8da90

Observation b3dfceba-ef70-4825-9073-ba59c1911860 · outbound

This paper cites International Journal for Numerical Methods in Fluids 67:1735–57.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control International Journal for Numerical Methods in Fluids 67:1735–57

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.671097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:30.971797Z digest=sha256:c1dfe94854985ba3c94f12d9396cdcef1cf7da66368913a001d286c4f217446d

Observation 58655d8f-a607-44e7-ab35-9738055d83d2 · outbound

This paper cites arXiv preprint arXiv:150902971.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control arXiv preprint arXiv:150902971

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.569754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.080646Z digest=sha256:1dee07814866147d114de2eee130fb90b6a767ff5ee043637c1e629c8cc4eda7

Observation a13560d8-4cd1-4df4-9d50-3e182e35a782 · outbound

This paper cites Journal of Fluid Mechanics 242:51–78.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluid Mechanics 242:51–78

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.428571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.159146Z digest=sha256:550b9ae48d9d425d854ecd52d8d6079cdf1651ea54314058e8c5d870917121e7

Observation dd1008d6-9c49-4d5d-9b7c-1b51d1357187 · outbound

This paper cites Wind Energy 15(2):305–317.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 15(2):305–317

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.328641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.269032Z digest=sha256:b67d33ed222c3a13974e1bd850cab6cbf69a4f6575f2127c7da092741899c13e

Observation f6542227-f828-4433-8f2f-496a922dd7ad · outbound

This paper cites Wind Energy Science 7(6):2271–2306.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 7(6):2271–2306

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.213936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.382995Z digest=sha256:1eb3d169e46b992fa7fd686ea172214049d944b9357d5ec9a3e3549b5983740d

Observation 6c0f696e-83aa-433d-98ba-95c44346bed4 · outbound

This paper cites PhD thesis, Technical University of Denmark.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control PhD thesis, Technical University of Denmark

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.075213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.474241Z digest=sha256:933758e29c8909ee4d11045e2d321452bf4228bcb068b53e7f84fbbe2bd695f2

Observation 0345547e-4238-4c44-8eb6-77486d6dc071 · outbound

This paper cites arXiv preprint arXiv:13125602.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control arXiv preprint arXiv:13125602

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.945418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.584513Z digest=sha256:437f0d809c72b0176be39a11cde5b7a3eb68ea6dda72573d30273359429def06

Observation b1091ec0-3ea1-448d-9725-ed076e0876dc · outbound

This paper cites nature 518(7540):529–533.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control nature 518(7540):529–533

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.813003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.672200Z digest=sha256:a3bbfa707650189d27c60d1eebe508f5b55b04808e6c84b5d73dca52aa989ed4

Observation b6e935d6-0a38-4aa1-a74c-19e5caeb3e50 · outbound

This paper cites In: International conference on machine learning, PmLR, pp 1928–1937.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: International conference on machine learning, PmLR, pp 1928–1937

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.684477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.759296Z digest=sha256:2fd579feab24a02aba359f13444f4fa708e560be27939f1f7b48834cd1c37d35

Observation cc781757-24f9-43a3-b2f2-b244a53308a0 · outbound

This paper cites Flow, Turbulence and Combustion.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Flow, Turbulence and Combustion

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.529830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:31.849998Z digest=sha256:c21699c48fb2ebce3eaaa5541a8ea32d9f6b985a33d20ce97f1caa0ad3b3fae7

Observation f2c289ca-40b9-47e6-a0ca-5aa02ad31548 · outbound

This paper cites WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:31.942277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:31.942277Z digest=sha256:179bed2c369e54342cdce22ae68081edd04fee5ce8edb462c3f19e936ee0629a

Observation ac896b0c-3fb3-461b-a39d-e9c78f23f0a0 · outbound

This paper cites Energies 11(1):177.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Energies 11(1):177

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.330985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.009404Z digest=sha256:7849397b7a05368a8bceaea1a070bfbf3c863d504138e97cf6c5cf3adad4f67f

Observation b3990415-b365-4e2b-9352-4ad24dafd29f · outbound

This paper cites Physics of Fluids 28(2):025112.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Physics of Fluids 28(2):025112

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.119873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.083932Z digest=sha256:d55b1c79195d4797beab23941695260ded5853aaa61da0c43ed97b4342660af3

Observation 5e586e23-a2b4-4695-a50b-a4fb576b13e6 · outbound

This paper cites Renewable Energy 181:445–456.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Renewable Energy 181:445–456

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.970498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.164330Z digest=sha256:4b0d9332b2641c7674b79f3b79715677f567fb971be488a53615411a6cefb527

Observation 46976d5c-4099-4400-ad77-0547a2f75aa6 · outbound

This paper cites Journal of Computational Science 62:101707.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Computational Science 62:101707

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.820663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.251159Z digest=sha256:c31dd9d8da40ba3a5855d91909e7c938bd57badc129c9c866a9fd335fd4d9e3e

Observation a6120853-8d83-4030-92ad-9a866fa081e8 · outbound

This paper cites Advances in neural information processing systems 32.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Advances in neural information processing systems 32

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.625203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.340622Z digest=sha256:9fdf95c42a15cb4f7c33642d675648c56107c8b1148f6ee25db415d40c7a866f

Observation 51ff2d28-b7f6-48c0-9c2f-38b83bfac996 · outbound

This paper cites Adaptive Computation and Machine Learning, MIT Press, Cambridge, Mass.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Adaptive Computation and Machine Learning, MIT Press, Cambridge, Mass

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.464196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.432190Z digest=sha256:755c00b44ffe4e737df8bd9f887f0ddb5e90a666ae9f362945688e5bea50a423

Observation 7feccc53-ae93-4484-83ac-ec642169a17b · outbound

This paper cites Energies 14(13):3745.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Energies 14(13):3745

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.322069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.546508Z digest=sha256:e1e11bbb094d682f18272aa4151d69d44d698f654a4f828209bcf51b97e5e58b

Observation 25b08fa5-9adc-4a96-a7b8-9c1aad3990d5 · outbound

This paper cites arXiv preprint arXiv:170706347.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control arXiv preprint arXiv:170706347

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:32.616182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:32.616182Z digest=sha256:e4f06d4bd7b7a30f7fcad0393449989ae411affa2bda5188d953b9fbb18e8b8e

Observation 56a9de49-4686-48b4-bfbf-a9fcd78af037 · outbound

This paper cites Proceedings of the IEEE 104(1):148–175.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Proceedings of the IEEE 104(1):148–175

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.130796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.700003Z digest=sha256:cc0094b180901c4aee8b09d319dcc2cb3ccf45452f8648b1e0916af47de63940

Observation 95cb1a89-b8b1-47f6-805f-e004a02be1ac · outbound

This paper cites In: Proceedings of European Wind Energy Conference 2007.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: Proceedings of European Wind Energy Conference 2007

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:37.922221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.803866Z digest=sha256:2f6d8d8d23f3dbbde8a6f88b73032b612686a4e5d119e372b4470c8ce6b98bbe

Observation 6854cc18-53a9-4137-94e9-db08801c0434 · outbound

This paper cites Monthly Weather Review 91(3):99–164.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Monthly Weather Review 91(3):99–164

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:37.716944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.897939Z digest=sha256:084c036ecb5e5dce24422c355574fe60074c0b489be9abe895fc37ac72d72b79

Observation 2181738f-7f4d-42d0-b2a0-01ea339074fd · outbound

This paper cites In: Pereira F, Burges C, Bottou L, et al (eds) Advances in Neural Information Processing Systems, vol 25.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: Pereira F, Burges C, Bottou L, et al (eds) Advances in Neural Information Processing Systems, vol 25

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:37.439850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:32.969421Z digest=sha256:2b5ff6a3148903bb66f81c250cd649d5d086e6decad79855721480b0105f8e0f

Observation 152d7109-213f-4618-b2f2-6eb10b478d7d · outbound

This paper cites Journal of Fluids Engineering 124(2):393–399.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluids Engineering 124(2):393–399

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:37.159620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:33.076741Z digest=sha256:298190e9cba4ce156d125641479f2cfb9dcd90e5132f25ce1647e4cad1bb493e

Observation 28d72646-ce9a-4d5d-88e4-5915cfd278fe · outbound

This paper cites arXiv preprint arXiv:09123995.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control arXiv preprint arXiv:09123995

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:36.832576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:33.191974Z digest=sha256:cb6a91fb1160c516ec5aa888293b841c26c6fb000acfb50f7a3726dd4c9a2cc1

Observation 30ae87a3-52b4-4a00-8237-a0638e268d92 · outbound

This paper cites Machine learning 3:9–44.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Machine learning 3:9–44

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:36.555306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:33.260469Z digest=sha256:b6d0e30b52e5e3e77bb53fc9b5b6ed776c7874081e6cb0a921643e3275e9b6de

Observation fb505935-bd19-4234-bd59-7309dcf4fbc4 · outbound

This paper cites MIT press.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control MIT press

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:36.220282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:33.330546Z digest=sha256:5b0847524a234333befb13fa6489f990c8e658b61da220c0717c6f5f3be84add

Observation 394b7dab-d8b6-4592-93e4-ce59dc17efbd · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: Proceedings of the AAAI conference on artificial intelligence

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:36.068774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:33.417120Z digest=sha256:a88acf4cb8fb061a1654b06d3c60a62e9468096e021b10cc211b92b23d84652d

Observation c32f09de-26c2-4e52-b201-e950d7092855 · outbound

This paper cites Wind Energy Science 8(7):1071–1131.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 8(7):1071–1131

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:35.895612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:33.522723Z digest=sha256:04876c17dfc63f9b45a5a0fa32de3b82f2e342cca57ea2808e1a4532204fa496

Observation b7ab819a-ac4d-427d-940b-572d05c99cff · outbound

This paper cites Physics of Fluids 35(3).

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Physics of Fluids 35(3)

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:35.763697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:33.607198Z digest=sha256:577620bacee516c72da5717d2a5e55e53eabdf9a5c4d1fc30a822c803059fd1b

Observation 9b5dceb9-b1b9-4736-b542-2a88ce5a3c9d · outbound

This paper cites Energy Conversion and Management 337:119888.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Energy Conversion and Management 337:119888

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:35.596582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8a711f2a-ab75-4617-a017-0330d3654563 · outbound

This paper cites Machine learning 8:279–292.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Machine learning 8:279–292

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:35.403061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7e8efbe9-0370-45d3-be9d-a886f0ecdcf0 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:54:35.161401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d4495f91-eabf-4b5e-9b5c-b45e9a215483 · outbound

This paper cites Renewable Energy 75:945–955.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Renewable Energy 75:945–955

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:34.908818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bae639cc-9890-4233-8316-735615d84dd0 · outbound

This paper cites Journal of Fluid Mechanics 981:A17.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluid Mechanics 981:A17

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:34.677050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f127f1fc-7feb-4583-97a7-b7908ee1235e · outbound

This paper cites Real-time digital optimisation and decision making for energy and transport systems.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Real-time digital optimisation and decision making for energy and transport systems

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:34.429317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:54:34.114513Z digest=sha256:94a8ca610d0b16e56a4ea7954f12c737619607d6ce58e8d91ea49e09748542f9

Pith citing papers

Observation 2de456d0-a76c-44b5-8632-766cdfb9de99 · inbound

Three-dimensional Navier-Stokes-Biot coupling via a moving reticular plate interface: existence of weak solutions cites this paper.

Three-dimensional Navier-Stokes-Biot coupling via a moving reticular plate interface: existence of weak solutions Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T18:40:08.955364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:40:08.955364Z digest=sha256:92e209cac4d96e4f43a788054f0b847d266a81de9ea8d244076613224bf03f88

Observation a749bbce-7144-4030-ac69-81e57bd8bf83 · inbound

Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control cites this paper.

Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:06:00.032788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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