Pith. sign in

Paper Citation Record · LEDGER

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2502.12175.

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

pith.paper-citation-record.v1
2502.12175 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:22:40.364193Z

measured 34 of 34 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 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

34 of 34 outbound references displayed

  • verified exact6
  • verified fuzzy23
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20c70717-e9c7-45a8-8b88-0bcd6fd65c82 · outbound

This paper cites Manage- ment of an academic hpc research computing facility: The ulhpc experience 2.0,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Manage- ment of an academic hpc research computing facility: The ulhpc experience 2.0,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.188540Z

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=2026-08-07T20:22:40.192526Z digest=sha256:2b0b132ab632777af493c8bd1f7e85864ecf829c7c802e99571398f52fc06499

Observation e43d1d78-b201-4805-a6d4-f3e551b2b733 · outbound

This paper cites A comprehensive review on deep learning approaches for short-term load forecasting,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? A comprehensive review on deep learning approaches for short-term load forecasting,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.173052Z

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=2026-08-07T20:22:40.198417Z digest=sha256:d9331aadc44356a0978ef1d1bea86a9e7c18ce8035c7eaf4fe58c6f0da0e6e62

Observation 75bde64b-2d4c-4656-b0f2-af21bd05ea5f · outbound

This paper cites Big data analytics in smart grids: a review,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Big data analytics in smart grids: a review,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.157904Z

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=2026-08-07T20:22:40.204132Z digest=sha256:dc21ffcde633d07ab72bb20cfbb420c94daeeefd2ce53a9167659334daeeea49

Observation 27d85923-2a15-4017-bb8d-567444d0a80f · outbound

This paper cites Short-term residential load forecasting using Graph Convolutional Recurrent Neural Networks,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Short-term residential load forecasting using Graph Convolutional Recurrent Neural Networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.142753Z

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=2026-08-07T20:22:40.209378Z digest=sha256:08d21a6a10db2176b8631272c4caa09ac12e1017eaa3d7590af2e7ba1c2b4ea9

Observation 9f2b2a37-391c-4661-893a-bb03d14fa368 · outbound

This paper cites Probabilistic electric load forecasting: A tutorial review,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Probabilistic electric load forecasting: A tutorial review,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.126125Z

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=2026-08-07T20:22:40.214990Z digest=sha256:1b127800f24e0b881191665553e8162789d383dedb0a863d3f4a46dc450bdd33

Observation 44223874-87e6-4ddb-a1f9-1a0bf97722ec · outbound

This paper cites Time-series forecasting models for smart meters data: An empirical comparison and analysis,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Time-series forecasting models for smart meters data: An empirical comparison and analysis,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.110284Z

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=2026-08-07T20:22:40.220152Z digest=sha256:35c20a719a0812095f92f6caf8af71f7ec1cae62f4cae601e35e3175c0b8344c

Observation 75d83685-0b49-4cbe-89be-8b099915f385 · outbound

This paper cites Understanding multi-scale spatiotemporal energy consumption data: A visual analysis approach,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Understanding multi-scale spatiotemporal energy consumption data: A visual analysis approach,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.092859Z

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=2026-08-07T20:22:40.226054Z digest=sha256:da97103d1bcbacd43ca99e171a70dcbf92b6f59257b139b15a279b5c15e54935

Observation 2acfe6e2-067c-493c-a2c2-406339236688 · outbound

This paper cites Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Spatial-temporal graph neural network for traffic forecasting: An overview and open research issues,

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T20:22:40.423816Z

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=2026-08-07T20:22:40.231008Z digest=sha256:fe93b53017895a2863be001cd9380e224850d4610bb5a87f8ac71d224b25e180

Observation 30d6f717-f9c7-479a-a1e2-bcfd3e83c948 · outbound

This paper cites Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.076650Z

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=2026-08-07T20:22:40.236332Z digest=sha256:83e6848eaf9c808551a1394c8c2e990a32664f7dbf46cb66c6c86035a652bd39

Observation a72c4c5f-187f-41c9-ac09-88ecc053cc0f · outbound

This paper cites Stgnet: Short-term residential load forecasting with spatial–temporal gated fusion network,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Stgnet: Short-term residential load forecasting with spatial–temporal gated fusion network,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.059259Z

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=2026-08-07T20:22:40.241285Z digest=sha256:ccdee10ab22a111b6eb610e5d70156dd790c29f76d019231ea0b4c0cf225907f

Observation 4c68b7de-3d80-43b0-84f5-b940110817eb · outbound

This paper cites Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches,

Reference 11

Resolution
verified exact
doi, observed 2026-08-07T20:22:40.406007Z

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=2026-08-07T20:22:40.251492Z digest=sha256:ae19e2724577d43873c20da77d79c7230ba3af779ac2d27a57cc579ac3267ed9

Observation 12827e5e-d2b4-4d76-9753-c7b39b7cc8d7 · outbound

This paper cites Short-term load forecasting using spatial-temporal embedding graph neural network,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Short-term load forecasting using spatial-temporal embedding graph neural network,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.025704Z

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=2026-08-07T20:22:40.257036Z digest=sha256:85732087c83b96cda2873fb8d85dc0da159cf982c4c0c917ff3a377adbf5e6f0

Observation e61376ea-ad64-4121-8101-017e61bc9bed · outbound

This paper cites Graph Deep Learning for Time Series Forecasting.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Graph Deep Learning for Time Series Forecasting

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T20:22:40.262183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:22:40.262183Z digest=sha256:3254c76dd6982618f5d9681e5f85a11c9918dd5c08e1733942b89b6f7b6ef3e7

Observation ceac9cf7-0e8d-4c01-b7c9-a3c9f3c384ed · outbound

This paper cites A short-term residential load forecasting scheme based on the multiple correlation-temporal graph neural networks,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? A short-term residential load forecasting scheme based on the multiple correlation-temporal graph neural networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.009094Z

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=2026-08-07T20:22:40.267687Z digest=sha256:ba461951ced7688d29656171e793b2e5c1c5161edd64159c5dec5f77f3afe36f

Observation 4df52c55-018b-4446-9cea-9dd7a608bc6c · outbound

This paper cites Privacy-preserving federated learning for residential short-term load forecasting,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Privacy-preserving federated learning for residential short-term load forecasting,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.992712Z

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=2026-08-07T20:22:40.272790Z digest=sha256:9418f1efcf57d5f6dd647573e40ac36eb75b60ceb6c1e0601afc8fe3e7785223

Observation da99dcaf-65fd-462d-bace-62c8a205f099 · outbound

This paper cites Towards a peer-to-peer residential short-term load fore- casting with federated learning,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Towards a peer-to-peer residential short-term load fore- casting with federated learning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.975832Z

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=2026-08-07T20:22:40.278256Z digest=sha256:769ca3523b6b63c5ced94e165054860a64bfa52828a34cd51776390e7336e097

Observation 5a09867b-437d-4d61-9063-bd6f94c44a82 · outbound

This paper cites Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T20:22:40.283469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:22:40.283469Z digest=sha256:93ca131ced7fea4d073f402d471370d7d8fd433ceee87aa5a7a1dfa1035f1126

Observation 6145e3ce-de16-40cf-b9ed-01954e80bfab · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.958653Z

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=2026-08-07T20:22:40.288824Z digest=sha256:1d9215ffe118689070a096a089c00ceeda5c6e07377b8d21b37f02ab93797850

Observation 7e68bd38-8833-4266-b45e-3adc8e1a3fc5 · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Sequence to Sequence Learning with Neural Networks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T20:22:40.293865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:22:40.293865Z digest=sha256:949d668764ae4750018a746b37f462d0ed5f06437e27e13424a1260d9f36497d

Observation df6afdd1-a506-42ff-9fd8-3e06e0f6026a · outbound

This paper cites Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Short-Term Load Forecasting of Electricity Demand for the Residential Sector Based on Modelling Techniques: A Systematic Review,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.942550Z

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=2026-08-07T20:22:40.300063Z digest=sha256:ca3774a59d33683ad63a4e4b20ca28a798410c0e68d10fc94e5bf9eaa0cd48da

Observation 0894b2b0-140e-494b-b19a-f72c868e8b6a · outbound

This paper cites Spatio-Temporal Short Term Load Forecasting Using Graph Neural Networks,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Spatio-Temporal Short Term Load Forecasting Using Graph Neural Networks,

Reference 21

Resolution
verified exact
raw_fallback, observed 2026-08-07T20:22:40.747688Z

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=2026-08-07T20:22:40.304949Z digest=sha256:c3d7059a66ce80a5ceb4bd26b24815decd7565fa90559dd7522e1b6ea01b64e3

Observation 8b98fe9d-a066-433e-884a-dcbaa0e2a881 · outbound

This paper cites On the Equivalence Between Temporal and Static Equivariant Graph Representations,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? On the Equivalence Between Temporal and Static Equivariant Graph Representations,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.926304Z

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=2026-08-07T20:22:40.310035Z digest=sha256:4f2124b18a54a153be7bdde642f6875d2fdb4e22fe628de60d58ad211f41cc97

Observation 7027b8ca-c2ca-4faf-929d-94cbfa5d6adb · outbound

This paper cites Gated spatial-temporal graph neural network based short-term load forecasting for wide-area multiple buses,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Gated spatial-temporal graph neural network based short-term load forecasting for wide-area multiple buses,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.908377Z

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=2026-08-07T20:22:40.315212Z digest=sha256:1171d1634d6617752ac624a693a7b0e21e141dbc456dfd112642a643f4713ef0

Observation 048936bc-c9cc-4cf8-8277-dee268a84f8c · outbound

This paper cites Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.890882Z

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=2026-08-07T20:22:40.320201Z digest=sha256:ab13815b6627a93d85be7a5f9efbd685a76d4df409da2be0b1e5ae6040a26e66

Observation 9ffd5d52-b236-435c-b98a-80e5ac229a09 · outbound

This paper cites Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks,

Reference 25

Resolution
verified exact
raw_fallback, observed 2026-08-07T20:22:40.663414Z

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=2026-08-07T20:22:40.325105Z digest=sha256:60c112ce763351e8eb02bdafcdde4fd1af8bfe7e3e9ad037a8d0a88243f09025

Observation 4d399734-05ef-4dc5-bf2c-cb61133d0fad · outbound

This paper cites Multivariate Time Series Forecasting with Latent Graph Inference.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Multivariate Time Series Forecasting with Latent Graph Inference

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T20:22:40.329924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:22:40.329924Z digest=sha256:b8139850e04dd26d7614465da1b33b81e05c11c77a0fb1ca441fa910cde8ba84

Observation 66f7f5e9-0a26-494f-bc8c-c8f74f39477c · outbound

This paper cites Low Carbon London Project: Data from the Dynamic Time-of-Use Electricity Pricing Trial, 2013,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Low Carbon London Project: Data from the Dynamic Time-of-Use Electricity Pricing Trial, 2013,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.874023Z

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=2026-08-07T20:22:40.335207Z digest=sha256:5bcd0f0d613f35ea31444d77c281f0264f582837e8ae6bf8c395f38cf09eb735

Observation 48b26fc0-5b97-49ea-9021-4831ea4f4d39 · outbound

This paper cites The acorn user guide,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? The acorn user guide,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.856453Z

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=2026-08-07T20:22:40.340309Z digest=sha256:e4e7daf399d003286577d5fce9ca70413bee98623947fb2f36bc238b5a55034f

Observation fab7225d-7c3d-4efc-b7cf-2f4ecad682a3 · outbound

This paper cites Torch Spatiotemporal,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Torch Spatiotemporal,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.838343Z

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=2026-08-07T20:22:40.344971Z digest=sha256:f7c9d8da1f21a90f7c54368d5ec69a39daa41991ca2e02fc01f6f3e1235d3fce

Observation e468befd-09b2-4509-a462-793e2ec4a04d · outbound

This paper cites Attention Is All You Need.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Attention Is All You Need

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T20:22:40.349338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:22:40.349338Z digest=sha256:2575c8c1fc007f9d92671967aae8ce06fd6a7129236e707ab9d3506eed133ffd

Observation 47756184-02cf-420a-8a8d-c1ff60f1d5eb · outbound

This paper cites Spatial and Temporal Attention-Enabled Transformer Network for Multivariate Short-Term Residential Load Forecasting,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Spatial and Temporal Attention-Enabled Transformer Network for Multivariate Short-Term Residential Load Forecasting,

Reference 31

Resolution
verified exact
raw_fallback, observed 2026-08-07T20:22:40.550379Z

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=2026-08-07T20:22:40.354185Z digest=sha256:9d743a41e2a12f4e4b3b2aebe268d53c6dcb0ca8d29eedeef4801047ba551047

Observation 9f0e29bd-ced5-4a86-bd13-99bad1f636aa · outbound

This paper cites Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T20:22:40.448527Z

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=2026-08-07T20:22:40.359082Z digest=sha256:2798e7930d9392830c8857a2e70db1e2ffde2cc8eea821ce48f6ee3533619e0e

Observation 628199ea-2647-4c6e-94b0-0839662ade69 · outbound

This paper cites ChatGPT,.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? ChatGPT,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:40.820979Z

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=2026-08-07T20:22:40.364193Z digest=sha256:eb68361e3a90b4b9d32816804771d7e32449127ff55d50fe3fd45c0fb5d763ba

Observation 294029eb-a690-430e-bcf0-39013750ba34 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID:266077492.

Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions? Available: https://api.semanticscholar.org/CorpusID:266077492

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T20:22:41.042135Z

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=2026-08-07T20:22:40.246453Z digest=sha256:d019a3fa9172c7bdb7df2f33508db88d994e889f759ef75ef0c5b71d04704db2

Pith citing papers

No inbound Pith citation observations are available.