Paper Citation Record · LEDGER

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2503.04757.

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

pith.paper-citation-record.v1
2503.04757 v1

Coverage vector

measured 35 of 35 reference resolution

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 5c9cdfc3-453c-4b22-97ac-b9163a3a8c75 · outbound

This paper cites A scenario- based study on the impacts of electric vehicles on energy consumption and sustainability in alberta,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study A scenario- based study on the impacts of electric vehicles on energy consumption and sustainability in alberta,

Reference 1

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Observation b69c1cc2-3a06-4c8d-851d-e83f7e5d9589 · outbound

This paper cites Evaluation of the impacts of renewables sources and battery systems in distribution feeders with different penetration levels,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Evaluation of the impacts of renewables sources and battery systems in distribution feeders with different penetration levels,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.215440Z

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Observation 03ca020b-7960-4fb5-bedf-01bc078f9770 · outbound

This paper cites Modeling of annual and daily electricity demand of retrofitted heat pumps based on gas smart meter data,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Modeling of annual and daily electricity demand of retrofitted heat pumps based on gas smart meter data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.205750Z

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Observation 31237dd0-e222-47d0-bb93-46b90aa8abb0 · outbound

This paper cites Review of smart meter data analytics: Applications, methodologies, and challenges,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Review of smart meter data analytics: Applications, methodologies, and challenges,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.196234Z

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Observation adcdd037-660e-4e40-9749-014e9263c3a1 · outbound

This paper cites Review of low voltage load forecasting: Methods, ap- plications, and recommendations,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Review of low voltage load forecasting: Methods, ap- plications, and recommendations,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.186379Z

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Observation 78a981b3-4e13-4e25-97aa-530fde6fc398 · outbound

This paper cites Meta-regression analysis of errors in short-term electricity load forecasting,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Meta-regression analysis of errors in short-term electricity load forecasting,

Reference 6

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Observation e186f48a-c496-4f71-867c-d9f670a1c0a4 · outbound

This paper cites City digital twin potentials: A review and research agenda,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study City digital twin potentials: A review and research agenda,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.176673Z

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Observation 1b0e5698-0280-4b5f-9e61-dcec3b97b8e3 · outbound

This paper cites Smart city digital twin–enabled energy management: Toward real-time urban building energy benchmarking,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Smart city digital twin–enabled energy management: Toward real-time urban building energy benchmarking,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.166474Z

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Observation 62aad553-f7a4-4eba-a34d-49bc1da96ae3 · outbound

This paper cites Smart city platform enabling digital twin,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Smart city platform enabling digital twin,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.156222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77144057-2f07-4775-abd6-61ceaa257674 · outbound

This paper cites A digital twin of a local energy system based on real smart meter data,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study A digital twin of a local energy system based on real smart meter data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.145557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 78ed97ec-48b5-4b1e-94d8-91f10f939c14 · outbound

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

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Probabilistic electric load forecasting: A tutorial review,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.135331Z

Source-reported events for the cited work

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Observation bce89724-2acd-4a01-8b7d-e2782503e999 · outbound

This paper cites Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.125978Z

Source-reported events for the cited work

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Observation eac49c67-0091-4ea3-869d-a41cd4c865d2 · outbound

This paper cites Prob- abilistic Short-Term Low-V oltage Load Forecasting using Bernstein- Polynomial Normalizing Flows,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Prob- abilistic Short-Term Low-V oltage Load Forecasting using Bernstein- Polynomial Normalizing Flows,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.114605Z

Source-reported events for the cited work

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Observation 366cf3b3-c7a1-4ce2-9254-c099b70daa26 · outbound

This paper cites Research on short-term load forecasting using xgboost based on similar days,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Research on short-term load forecasting using xgboost based on similar days,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.104664Z

Source-reported events for the cited work

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Observation 3bdf2e3f-c540-4b95-987b-b1b0176a269a · outbound

This paper cites Short-term load forecasting based on support vector regression and load profiling,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Short-term load forecasting based on support vector regression and load profiling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.095199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2fd0527-10e7-47cc-96a6-ce3c165e0bd2 · outbound

This paper cites Incremental pattern characterization learning and forecasting for electricity consumption us- ing smart meters,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Incremental pattern characterization learning and forecasting for electricity consumption us- ing smart meters,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.085408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0aa21093-8a52-4c3d-9118-3df7f2bcafbd · outbound

This paper cites A comparative analysis of artificial neural network architectures for building energy consumption forecasting,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study A comparative analysis of artificial neural network architectures for building energy consumption forecasting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.075473Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17d3b9bd-70b2-4c9c-8c0f-efa35fa4fe60 · outbound

This paper cites Predicting residential energy consumption using CNN-LSTM neural networks,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Predicting residential energy consumption using CNN-LSTM neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.065349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 669fc09b-231a-403d-b284-375f791b0bc6 · outbound

This paper cites Residential short- term load forecasting using convolutional neural networks,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Residential short- term load forecasting using convolutional neural networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.054896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80a641dc-015a-415a-b4d4-17eaa1155684 · outbound

This paper cites Short-term electricity load forecasting using the temporal fusion transformer: Effect of grid hierarchies and data sources,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Short-term electricity load forecasting using the temporal fusion transformer: Effect of grid hierarchies and data sources,

Reference 20

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Observation 9f1d8ad7-dd25-42da-87be-9b7115dc2ed9 · outbound

This paper cites Attention is All you Need,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Attention is All you Need,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.045451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8170b49c-293c-4f06-a2fd-2a8bf51b4a62 · outbound

This paper cites An overview of digital twins application in smart energy grids,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study An overview of digital twins application in smart energy grids,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.035165Z

Source-reported events for the cited work

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Observation cc282d2e-e97c-4b1f-a264-23e36dc3e7f5 · outbound

This paper cites Energy consumption forecasting for the digital-twin model of the building,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Energy consumption forecasting for the digital-twin model of the building,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.025662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d5bf894-ff37-4661-b799-89ba4bec5950 · outbound

This paper cites A digital twin architecture model applied with mlops techniques to improve short-term energy consumption prediction,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study A digital twin architecture model applied with mlops techniques to improve short-term energy consumption prediction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.016483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17b5eebc-d50b-434d-8882-22fc6860a31f · outbound

This paper cites Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Digital twins based day-ahead integrated energy system scheduling under load and renewable energy uncertainties,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:24.006401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d9cf589-27ff-45e2-8e77-585fc1cd2183 · outbound

This paper cites The development of stationary battery storage systems in germany – a market review,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study The development of stationary battery storage systems in germany – a market review,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.995680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0c5bdf7-5d19-4cbe-b835-c1a842ae26e3 · outbound

This paper cites Approval of the scenario framework 2023-2037/2045,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Approval of the scenario framework 2023-2037/2045,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.985193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9667f3b3-a931-4b3a-88b6-d1a0ce02e127 · outbound

This paper cites Multi-step time series forecasting of electric load using machine learning models,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Multi-step time series forecasting of electric load using machine learning models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.965904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04149736-0461-4e09-aba5-b5ce27050e5b · outbound

This paper cites Short term load forecasting and the effect of temperature at the low voltage level,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Short term load forecasting and the effect of temperature at the low voltage level,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.955940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d274f95c-bd9b-4542-859e-82cccf099236 · outbound

This paper cites A new metric of absolute percentage error for intermittent demand forecasts,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study A new metric of absolute percentage error for intermittent demand forecasts,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.945080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5fd0867-09b3-4f4c-922d-8d6fea966647 · outbound

This paper cites A survey of forecast error measures,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study A survey of forecast error measures,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.934828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 994d8491-4dbb-48ad-acba-e66632ebdf13 · outbound

This paper cites Power Consumption Predicting and Anomaly Detection Based on Transformer and K-Means,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Power Consumption Predicting and Anomaly Detection Based on Transformer and K-Means,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.923552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c4d7611-a9c3-41b9-92a8-7fc2309080c4 · outbound

This paper cites Short-term residential load forecasting based on lstm recurrent neural network,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Short-term residential load forecasting based on lstm recurrent neural network,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.913426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3da943d5-a808-4ff9-83c0-73dc362bd140 · outbound

This paper cites Enhancing the performance of Multi-Agent reinforcement learning for controlling HV AC systems,.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Enhancing the performance of Multi-Agent reinforcement learning for controlling HV AC systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.903045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 419ab389-54da-47e6-a867-e038d96e1aa1 · outbound

This paper cites Available: https://www.netzentwicklungsplan.de/.

Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study Available: https://www.netzentwicklungsplan.de/

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T15:45:23.975374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

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