Paper Citation Record · LEDGER

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study

As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.14024.

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

pith.paper-citation-record.v1
2607.14024 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:01:08.905603Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

verified exact5
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier4
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 79ad01e1-c411-4305-ba5d-cd7a593221ae · outbound

This paper cites Machines9(5) (2021).https://doi.org/10.3390/ machines9050100.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Machines9(5) (2021).https://doi.org/10.3390/ machines9050100

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-02T03:01:06.433451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83e682b1-02fa-480a-a3bb-c6e58591c0e4 · outbound

This paper cites Online Review13(5) (1989).https://doi.org/10.1108/ eb024320.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Online Review13(5) (1989).https://doi.org/10.1108/ eb024320

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-02T03:01:06.505669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88027ef0-25c4-4f0a-934d-0542cdab9efa · outbound

This paper cites IET Renewable Power Generation14(19) (2020).

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study IET Renewable Power Generation14(19) (2020)

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:06.614888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb87872e-0447-4de5-9988-23cc70a2bee4 · outbound

This paper cites an unresolved cited work.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Unresolved cited work

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-02T03:01:06.765144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 752ca8b0-cad0-4063-b27e-dfe272debe47 · outbound

This paper cites 10, 2025.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study 10, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:06.920499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77f947d5-08d6-42ad-9196-7efd5a0088ad · outbound

This paper cites In: Pattern Recognition in Practice IV, Machine Intelligence and Pattern Recognition, vol.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study In: Pattern Recognition in Practice IV, Machine Intelligence and Pattern Recognition, vol

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:07.050308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f47b62-b47e-46a8-9a71-2f0ee4a2a084 · outbound

This paper cites In: Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering (2025).https://doi.org/10.1145/3676151.3719368.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study In: Proceedings of the 16th ACM/SPEC International Conference on Performance Engineering (2025).https://doi.org/10.1145/3676151.3719368

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:07.191889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4699827-ade6-465f-9945-82b1fc75d540 · outbound

This paper cites In: Verdecchia, R., Trubiani, C., Calinescu, R., Verbanescu, A.L.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study In: Verdecchia, R., Trubiani, C., Calinescu, R., Verbanescu, A.L

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:07.337560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc3ba2b5-da8f-4321-9432-7a6199ad3f24 · outbound

This paper cites International Journal of Sustainable Engineering14(6) (2021).https://doi.org/ 10.1080/19397038.2021.1986590.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study International Journal of Sustainable Engineering14(6) (2021).https://doi.org/ 10.1080/19397038.2021.1986590

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:07.441067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 877b6f58-4286-40aa-bf4d-99210090c9bf · outbound

This paper cites Earthscan, 2nd edn.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Earthscan, 2nd edn

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:07.563983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171f18a9-68d4-4d28-8abd-9706f971e22d · outbound

This paper cites Solar Energy73(3) (2002).

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Solar Energy73(3) (2002)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:07.703362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7034cc70-9167-4dc5-b891-0ec5c761f675 · outbound

This paper cites International Renewable Energy Agency, Abu Dhabi (2025).

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study International Renewable Energy Agency, Abu Dhabi (2025)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:07.809468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58582c3a-edae-4da4-a81c-f0866ffaabe9 · outbound

This paper cites Patterns4(9) (2023).https://doi.org/10.1016/j.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Patterns4(9) (2023).https://doi.org/10.1016/j

Reference 13

Resolution: malformed identifier; no resolver link, observed 2026-08-02T03:01:07.959091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a322708e-b70b-4744-8f85-a98cb2573980 · outbound

This paper cites Energies13(18) (2020).https://doi.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Energies13(18) (2020).https://doi

Reference 14

Resolution: verified exact; doi, observed 2026-08-02T03:03:25.206162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d881f8f-e4d8-4b93-9eb0-c2c0495bf5e9 · outbound

This paper cites In: Developments in teracomputing.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study In: Developments in teracomputing

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:08.194142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69201353-224e-4110-a449-8293704f6770 · outbound

This paper cites Energy Reports9(2023).https://doi.org/10.1016/j.egyr.2023.09.008.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Energy Reports9(2023).https://doi.org/10.1016/j.egyr.2023.09.008

Reference 16

Resolution: verified exact; doi, observed 2026-08-02T03:03:25.066715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43f220fa-04f5-429e-9625-b82326cc8854 · outbound

This paper cites Journal of Machine Learning Research12(2011).

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Journal of Machine Learning Research12(2011)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:08.461305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b96b00f5-c560-4f56-9fa0-0f90a132b282 · outbound

This paper cites Solar Energy73(5) (2002).

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Solar Energy73(5) (2002)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:08.543996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b7dae7-8cd5-4c72-856f-0c75e1c633b1 · outbound

This paper cites Materials for Renewable and Sus- tainable Energy14(1) (2025).https://doi.org/10.1007/s40243-024-00292-5.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Materials for Renewable and Sus- tainable Energy14(1) (2025).https://doi.org/10.1007/s40243-024-00292-5

Reference 19

Resolution: verified exact; doi, observed 2026-08-02T03:03:24.944827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1239af18-7c6b-4ba7-8654-a5a243785214 · outbound

This paper cites Renewable and Sustainable Energy Reviews20(2013).

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Renewable and Sustainable Energy Reviews20(2013)

Reference 20

Resolution: verified exact; doi, observed 2026-08-02T03:03:24.813361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c5e76985-5568-4345-accd-d73d46b2505d · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T03:01:08.798136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1acc68-a5ab-4826-b327-f23a278d2d0a · outbound

This paper cites Solar Energy230 (2021).https://doi.org/10.1016/j.solener.2021.09.050.

Improving Wind and Solar Power Prediction with Efficient Wrapper-based Feature Selection: An Empirical Study Solar Energy230 (2021).https://doi.org/10.1016/j.solener.2021.09.050

Reference 23

Resolution: verified exact; doi, observed 2026-08-02T03:03:24.639826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.