Load Forecasting

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 50 papers with code (235 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Adaptive Input Normalization for Time Series Forecasting
  21 Feb 2019 3 repositories listed
  Deep Learning (DL) models can be used to tackle time series analysis tasks with great success.
• Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data
  25 Jan 2023 2 repositories listed
  In order to adapt Deep Learning models for buildings with limited and scarce data, this paper proposes a Building-to-Building Transfer Learning framework to overcome the problem and enhance the performance of Deep…
• Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows
  29 Apr 2022 2 repositories listed
  The transition to a fully renewable energy grid requires better forecasting of demand at the low-voltage level to increase efficiency and ensure reliable control.
• Deep Learning for Time Series Forecasting: The Electric Load Case
  22 Jul 2019 2 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  Management and efficient operations in critical infrastructure such as Smart Grids take huge advantage of accurate power load forecasting which, due to its nonlinear nature, remains a challenging task.
• An Ensemble Framework for Probabilistic Short-Term Load Forecasting Based on BiTCN and Deep Attention Networks
  25 Feb 2025 1 repository listed
  Probabilistic load forecasting is crucial for modern energy systems, providing point forecasts and uncertainty quantification to enhance decision-making and grid reliability.
• Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
  12 Feb 2025 1 repository listed
  These results underscore the robustness and adaptability of the GAT-LSTM model, establishing it as a powerful tool for applications in grid management and energy planning.
• Load Forecasting for Households and Energy Communities: Are Deep Learning Models Worth the Effort?
  9 Jan 2025 1 repository listed
  Key findings of this research include: (1) Simple persistence benchmarks outperform deep learning models for short-term load forecasting when the available training data is limited to six months or less; (2) Pretraining…
• From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting
  6 Jan 2025 1 repository listed
  To be specific, ERKG consists of knowledge extraction and guidance: i) a forecasting model is designed for the electricity usage events by estimating appliance operational states, aiming to extract the event-related…
• WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting
  22 Dec 2024 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  Our model significantly outperforms state-of-the-art MLP-based and transformer-based models for long-term time series forecasting in a computationally efficient way, demonstrating its efficacy and potential for…
• Generative Modeling and Data Augmentation for Power System Production Simulation
  10 Dec 2024 1 repository listed Syntology ran 11 of 17 samples · 6 unverified · 17 pointer-only (licence)
  As a key component of power system production simulation, load forecasting is critical for the stable operation of power systems.
• Just In Time Transformers
  22 Oct 2024 1 repository listed
  Precise energy load forecasting in residential households is crucial for mitigating carbon emissions and enhancing energy efficiency; indeed, accurate forecasting enables utility companies and policymakers, who advocate…
• Efficient mid-term forecasting of hourly electricity load using generalized additive models
  27 May 2024 1 repository listed
  In mid-term load forecasting, capturing the multifaceted characteristics of load, including daily, weekly and annual seasonal patterns, as well as autoregressive effects, weather and holiday impacts, and socio-economic…
• A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
  3 May 2024 1 repository listed
  Residential Load Profile (RLP) generation and prediction are critical for the operation and planning of distribution networks, especially as diverse low-carbon technologies (e.
• Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
  3 Mar 2024 1 repository listed
  Under this framework, each GS is responsible for training a personalized model split for their respective neighbourhoods, whereas the SP can train a single global or personalized model for each GS.
• DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load
  21 Feb 2024 1 repository listed
  Accordingly, we devise a novel Diffusion model termed DiffPLF for Probabilistic Load Forecasting of EV charging, which can explicitly approximate the predictive load distribution conditioned on historical data and…
• Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
  2 Feb 2024 1 repository listed
  In the realm of power systems, the increasing involvement of residential users in load forecasting applications has heightened concerns about data privacy.
• E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning
  17 Dec 2023 1 repository listed
  Successful machine learning involves a complete pipeline of data, model, and downstream applications.
• Utilizing Language Models for Energy Load Forecasting
  26 Oct 2023 1 repository listed
  Energy load forecasting plays a crucial role in optimizing resource allocation and managing energy consumption in buildings and cities.
• Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series
  24 Oct 2023 1 repository listed
  Short-term load forecasting (STLF) is crucial for the daily operation of power grids.
• Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
  8 Sep 2023 1 repository listed
  In traditional deep learning algorithms, one of the key assumptions is that the data distribution remains constant during both training and deployment.
• Task-Aware Machine Unlearning and Its Application in Load Forecasting
  28 Aug 2023 1 repository listed
  To balance between unlearning completeness and model performance, a performance-aware algorithm is proposed by evaluating the sensitivity of local model parameter change using influence function and sample re-weighting.
• Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution
  15 Aug 2023 1 repository listed
  The concatenating order of LSTM and SC in the proposed hybrid network provides an excellent capability of extraction of sequence-dependent features and other hierarchical spatial features.
• Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting
  28 Jul 2023 1 repository listed
  We apply several metaheuristics namely Differential Evolution to find the optimal hyperparameters of the Transformer-based Neural Network to produce accurate forecasts.
• DeepTSF: Codeless machine learning operations for time series forecasting
  28 Jul 2023 1 repository listed
  DeepTSF automates key aspects of the ML lifecycle, making it an ideal tool for data scientists and MLops engineers engaged in machine learning (ML) and deep learning (DL)-based forecasting.
• Residential Load Forecasting: An Online-Offline Deep Kernel Learning Method
  28 Jul 2023 1 repository listed
  Furthermore, to better address the high uncertainty of RLF, a learning scheme combing both offline and online learning is specifically developed for the regressor.
• Benchmarks and Custom Package for Energy Forecasting
  14 Jul 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  However, there are many differences between energy forecasting and traditional time series forecasting.
• BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting
  30 Jun 2023 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  We also show that fine-tuning pretrained models on real commercial and residential buildings improves performance for a majority of target buildings.
• Transformer Training Strategies for Forecasting Multiple Load Time Series
  19 Jun 2023 1 repository listed
  We evaluate whether a Transformer load forecasting model benefits from a transfer learning strategy, where a global univariate model is trained on the load time series from multiple clients.
• DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model
  31 May 2023 1 repository listed
  The uncertainties in load forecasting can be divided into two types: epistemic uncertainty and aleatoric uncertainty.
• A Unifying Framework of Attention-based Neural Load Forecasting
  8 May 2023 1 repository listed
  In this paper, we propose a unifying deep learning framework for load forecasting, which includes time-varying feature weighting, hierarchical temporal attention, and feature-reinforced error correction.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.