Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations
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Abstract (arXiv)
The increased digitalisation and monitoring of the energy system opens up numerous opportunities to decarbonise the energy system. Applications on low voltage, local networks, such as community energy markets and smart storage will facilitate decarbonisation, but they will require advanced control and management. Reliable forecasting will be a necessary component of many of these systems to anticipate key features and uncertainties. Despite this urgent need, there has not yet been an extensive investigation into the current state-of-the-art of low voltage level forecasts, other than at the smart meter level. This paper aims to provide a comprehensive overview of the landscape, current approaches, core applications, challenges and recommendations. Another aim of this paper is to facilitate the continued improvement and advancement in this area. To this end, the paper also surveys some of the most relevant and promising trends. It establishes an open, community-driven list of the known low voltage level open datasets to encourage further research and development.
Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 11 of its 247 references that are in the map. First posted on arXiv 30 May 2021.
Builds on
11 of 247 references.
References · 11
- 2018Review of Smart Meter Data Analytics: Applications, Methodologies, and Challengescited by 47
- 2019Deep Learning for Time Series Forecasting: The Electric Load Casecited by 31
- 2019A Time-Series Distribution Test System Based on Real Utility Datacited by 9
- 2016Lasso estimation for GEFCom2014 probabilistic electric load forecastingcited by 7
- 2017Shape-Based Approach to Household Load Curve Clustering and Predictioncited by 7
- 2015Electricity Demand Forecasting by Multi-Task Learningcited by 5
- 2016Achieving the Dispatchability of Distribution Feeders through Prosumers Data Driven Forecasting and Model Predictive Control of Electrochemical Storagecited by 4
- 2015Big Data Analytics for Dynamic Energy Management in Smart Gridscited by 3
- 2014A comparison of non-intrusive load monitoring methods for commercial and residential buildingscited by 2
- 2019Hierarchical Demand Forecasting Benchmark for the Distribution Gridcited by 2
- 2017Local Short Term Electricity Load Forecasting: Automatic Approachescited by 1
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Citing papers per year: 2022: 2; 2023: 3; 2024: 3; 2025: 5; 2026: 4.
17 papers.
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- 2022Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flowscited by 6
- 2023Transformer Training Strategies for Forecasting Multiple Load Time Seriescited by 6
- 2024Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Surveycited by 6
- 2023Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management Systemcited by 3
- 2026Explainable Load Forecasting with Covariate-Informed Time Series Foundation Modelscited by 3
- 2024Defining 'Good': Evaluation Framework for Synthetic Smart Meter Datacited by 2
- 2025Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Studycited by 2
- 2025Explainable time-series forecasting with sampling-free SHAP for Transformerscited by 2
- 2026Time Series Foundation Models for Energy Load Forecasting on Consumer Hardware: A Multi-Dimensional Zero-Shot Benchmarkcited by 2
- 2022A Global Modeling Approach for Load Forecasting in Distribution Networkscited by 1
- 2023Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecastingcited by 1
- 2025One Model to Forecast Them All and in Entity Distributions Bind Themcited by 1
5 more
- 2026Bayesian Transformer for Probabilistic Load Forecasting in Smart Gridscited by 1
- 2024Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operatorscited by 0
- 2025Coherent Load Profile Synthesis with Conditional Diffusion for LV Distribution Network Scenario Generationcited by 0
- 2025Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operatorscited by 0
- 2026A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methodscited by 0
- 2026A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods17 Jul 2026
- 2026Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models30 Apr 2026
- 2026Bayesian Transformer for Probabilistic Load Forecasting in Smart Grids9 Mar 2026
- 2026Time Series Foundation Models for Energy Load Forecasting on Consumer Hardware: A Multi-Dimensional Zero-Shot Benchmark11 Feb 2026
- 2025Explainable time-series forecasting with sampling-free SHAP for Transformers23 Dec 2025
- 2025Coherent Load Profile Synthesis with Conditional Diffusion for LV Distribution Network Scenario Generation13 Oct 2025
- 2025Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators2 Sep 2025
- 2025Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study10 Feb 2025
- 2025One Model to Forecast Them All and in Entity Distributions Bind Them26 Jan 2025
- 2024Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators29 Sep 2024
- 2024Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey29 Aug 2024
- 2024Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data16 Jul 2024
5 more
- 2023Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System29 Oct 2023
- 2023Transformer Training Strategies for Forecasting Multiple Load Time Series19 Jun 2023
- 2023Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting29 May 2023
- 2022Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows29 Apr 2022
- 2022A Global Modeling Approach for Load Forecasting in Distribution Networks1 Apr 2022
- 2022Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flowscited by 6
- 2023Transformer Training Strategies for Forecasting Multiple Load Time Seriescited by 6
- 2024Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Surveycited by 6
- 2023Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management Systemcited by 3
- 2026Explainable Load Forecasting with Covariate-Informed Time Series Foundation Modelscited by 3
- 2024Defining 'Good': Evaluation Framework for Synthetic Smart Meter Datacited by 2
- 2025Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Studycited by 2
- 2025Explainable time-series forecasting with sampling-free SHAP for Transformerscited by 2
- 2026Time Series Foundation Models for Energy Load Forecasting on Consumer Hardware: A Multi-Dimensional Zero-Shot Benchmarkcited by 2
- 2022A Global Modeling Approach for Load Forecasting in Distribution Networkscited by 1
- 2023Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecastingcited by 1
- 2025One Model to Forecast Them All and in Entity Distributions Bind Themcited by 1
12 most cited of 17 All 17 (JSON)
- 2026A Benchmark for Electrical Load Forecasting Across Grid Levels: Time-Series Transformers Outperform Established Methods17 Jul 2026
- 2026Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models30 Apr 2026
- 2026Bayesian Transformer for Probabilistic Load Forecasting in Smart Grids9 Mar 2026
- 2026Time Series Foundation Models for Energy Load Forecasting on Consumer Hardware: A Multi-Dimensional Zero-Shot Benchmark11 Feb 2026
- 2025Explainable time-series forecasting with sampling-free SHAP for Transformers23 Dec 2025
- 2025Coherent Load Profile Synthesis with Conditional Diffusion for LV Distribution Network Scenario Generation13 Oct 2025
- 2025Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators2 Sep 2025
- 2025Electricity Demand Forecasting in Future Grid States: A Digital Twin-Based Simulation Study10 Feb 2025
- 2025One Model to Forecast Them All and in Entity Distributions Bind Them26 Jan 2025
- 2024Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators29 Sep 2024
- 2024Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey29 Aug 2024
- 2024Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data16 Jul 2024
12 newest of 17 All 17 (JSON)