Browse State-of-the-Art › Load Forecasting › Papers, page 2
Load Forecasting
Papers archive 2025-07-28
archive papers tagged: 235 · with a code link: 50 · where Syntology ran a sample: 5 (5 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (5 of 235 tagged: 5 with a run with no instrument failure, 0 where every run was a failure of Syntology's instrument)
Page 2 of 3: papers 101 to 200 of 235, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
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Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach16 Apr 2024 0 repositories listed
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Some variation of COBRA in sequential learning setup7 Apr 2024 0 repositories listed
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TimeGPT in Load Forecasting: A Large Time Series Model Perspective7 Apr 2024 0 repositories listed
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Exploring Lightweight Federated Learning for Distributed Load Forecasting4 Apr 2024 0 repositories listed
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Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers1 Apr 2024 0 repositories listed
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Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction6 Mar 2024 0 repositories listed
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Adaptive time series forecasting with markovian variance switching22 Feb 2024 0 repositories listed
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AI-Powered Predictions for Electricity Load in Prosumer Communities21 Feb 2024 0 repositories listed
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Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition18 Feb 2024 0 repositories listed
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Deep Learning-Based Cyber-Attack Detection Model for Smart Grids14 Dec 2023 0 repositories listed
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Privacy-Preserving Load Forecasting via Personalized Model Obfuscation21 Nov 2023 0 repositories listed
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Load Data Valuation in Multi-Energy Systems: An End-to-End Approach16 Nov 2023 0 repositories listed
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Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting10 Nov 2023 0 repositories listed
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Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System29 Oct 2023 0 repositories listed
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Secure short-term load forecasting for smart grids with transformer-based federated learning26 Oct 2023 0 repositories listed
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Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting24 Oct 2023 0 repositories listed
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Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting13 Oct 2023 0 repositories listed
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Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas5 Oct 2023 0 repositories listed
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Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients22 Sep 2023 0 repositories listed
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Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network7 Sep 2023 0 repositories listed
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Short-term power load forecasting method based on CNN-SAEDN-Res2 Sep 2023 0 repositories listed
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Probabilistic load forecasting with Reservoir Computing24 Aug 2023 0 repositories listed
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An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition19 Jun 2023 0 repositories listed
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SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events14 Jun 2023 0 repositories listed
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Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging5 Jun 2023 0 repositories listed
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Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting29 May 2023 0 repositories listed
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Leveraging Predictions in Power System Frequency Control: an Adaptive Approach20 May 2023 0 repositories listed
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Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources17 May 2023 0 repositories listed
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DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks15 May 2023 0 repositories listed
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LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid25 Apr 2023 0 repositories listed
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A generalised multi-factor deep learning electricity load forecasting model for wildfire-prone areas21 Apr 2023 0 repositories listed
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Probabilistic Forecast-based Portfolio Optimization of Electricity Demand at Low Aggregation Levels18 Apr 2023 0 repositories listed
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Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives17 Apr 2023 0 repositories listed
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An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman Pseudospectra16 Apr 2023 0 repositories listed
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Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting6 Apr 2023 0 repositories listed
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Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids28 Mar 2023 0 repositories listed
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In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance25 Feb 2023 0 repositories listed
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A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers23 Feb 2023 0 repositories listed
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Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models16 Feb 2023 0 repositories listed
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Information Theoretical Importance Sampling Clustering9 Feb 2023 0 repositories listed
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An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction5 Feb 2023 0 repositories listed
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Multi Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model31 Jan 2023 0 repositories listed
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Adaptive Probabilistic Forecasting of Electricity (Net-)Load24 Jan 2023 0 repositories listed
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Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble24 Oct 2022 0 repositories listed
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Probabilistic Forecasting Methods for System-Level Electricity Load Forecasting17 Oct 2022 0 repositories listed
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TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning5 Oct 2022 0 repositories listed
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A Secure Federated Learning Framework for Residential Short Term Load Forecasting29 Sep 2022 0 repositories listed
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Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand19 Sep 2022 0 repositories listed
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Short-term Load Forecasting with Distributed Long Short-Term Memory1 Aug 2022 0 repositories listed
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Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids19 Jul 2022 0 repositories listed
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Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach30 Jun 2022 0 repositories listed
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Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets23 Jun 2022 0 repositories listed
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A Neural Network-Based Energy Management System for PV-Battery Based Microgrids14 Jun 2022 0 repositories listed
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Characterization of electric consumers through an automated clustering pipeline10 May 2022 0 repositories listed
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Optimization-Based Ramping Reserve Allocation of BESS for AGC Enhancement24 Apr 2022 0 repositories listed
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A Global Modeling Approach for Load Forecasting in Distribution Networks1 Apr 2022 0 repositories listed
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Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study17 Mar 2022 0 repositories listed
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Exploring Physical-Based Constraints in Short-Term Load Forecasting: A Defense Mechanism Against Cyberattack7 Mar 2022 0 repositories listed
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High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks7 Mar 2022 0 repositories listed
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KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios5 Mar 2022 0 repositories listed
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FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers1 Mar 2022 0 repositories listed
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Systematic review of deep learning and machine learning for building energy23 Feb 2022 0 repositories listed
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Clustering Enabled Few-Shot Load Forecasting16 Feb 2022 0 repositories listed
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Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting1 Feb 2022 0 repositories listed
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Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting6 Jan 2022 0 repositories listed
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Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review29 Dec 2021 0 repositories listed
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Daily peak electrical load forecasting with a multi-resolution approach8 Dec 2021 0 repositories listed
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Appliance Level Short-term Load Forecasting via Recurrent Neural Network23 Nov 2021 0 repositories listed
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Privacy-preserving Federated Learning for Residential Short Term Load Forecasting17 Nov 2021 0 repositories listed
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Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting14 Nov 2021 0 repositories listed
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Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting28 Oct 2021 0 repositories listed
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Improving Load Forecast in Energy Markets During COVID-191 Oct 2021 0 repositories listed
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State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting1 Oct 2021 0 repositories listed
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Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network26 Sep 2021 0 repositories listed
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Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning25 Sep 2021 0 repositories listed
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AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI13 Sep 2021 0 repositories listed
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Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach25 Aug 2021 0 repositories listed
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A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain5 Aug 2021 0 repositories listed
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Random vector functional link neural network based ensemble deep learning for short-term load forecasting30 Jul 2021 0 repositories listed
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Learning Sparse Privacy-Preserving Representations for Smart Meters Data17 Jul 2021 0 repositories listed
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Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting13 Jul 2021 0 repositories listed
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Cost-Oriented Load Forecasting5 Jul 2021 0 repositories listed
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National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?30 Jun 2021 0 repositories listed
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Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning26 Jun 2021 0 repositories listed
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Federated Learning for Short-term Residential Load Forecasting27 May 2021 0 repositories listed
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Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature23 Mar 2021 0 repositories listed
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Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey20 Jan 2021 0 repositories listed
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Probabilistic electric load forecasting through Bayesian Mixture Density Networks23 Dec 2020 0 repositories listed
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A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation4 Nov 2020 0 repositories listed
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Recurrent Neural Based Electricity Load Forecasting of G-20 Members24 Oct 2020 0 repositories listed
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Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)9 Oct 2020 0 repositories listed
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Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems8 Oct 2020 0 repositories listed
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Forecasting Short-term load using Econometrics time series model with T-student Distribution28 Sep 2020 0 repositories listed
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A Meta-learning based Distribution System Load Forecasting Model Selection Framework25 Sep 2020 0 repositories listed
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Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France14 Sep 2020 0 repositories listed
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LfEdNet: A Task-based Day-ahead Load Forecasting Model for Stochastic Economic Dispatch16 Aug 2020 0 repositories listed
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Deep-Learning-Based, Multi-Timescale Load Forecasting in Buildings: Opportunities and Challenges from Research to Deployment12 Aug 2020 0 repositories listed
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Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation1 Jul 2020 0 repositories listed
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Peak Forecasting for Battery-based Energy Optimizations in Campus Microgrids25 May 2020 0 repositories listed
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Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting23 May 2020 0 repositories listed