Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+00:00

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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

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External citation measurements

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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

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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

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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

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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

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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 2026-08-09T06:31:02.800959+00:00.

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

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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

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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

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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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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

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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 2026-08-09T06:31:02.800959+00:00.

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

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Source-reported events for the cited work

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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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

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

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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

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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 2026-08-09T06:31:02.800959+00:00.

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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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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

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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

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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

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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

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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 2026-08-09T06:31:02.800959+00:00.

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

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Source-reported events for the cited work

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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

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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

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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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

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