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Load Forecasting

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Showing 1–50 of 235 papers

TitleStatusHype
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series ForecastingCode2
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing FlowsCode2
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolutionCode1
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal FeaturesCode1
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load ForecastingCode1
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load ForecastingCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Task-Aware Machine Unlearning and Its Application in Load ForecastingCode1
Probabilistic Load Forecasting Based on Adaptive Online LearningCode1
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
Load Forecasting for Households and Energy Communities: Are Deep Learning Models Worth the Effort?Code1
Short-Term Load Forecasting using Bi-directional Sequential Models and Feature Engineering for Small DatasetsCode1
Review of Low Voltage Load Forecasting: Methods, Applications, and RecommendationsCode1
Deep Adaptive Input Normalization for Time Series ForecastingCode1
ES-dRNN with Dynamic Attention for Short-Term Load ForecastingCode1
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical ChallengeCode1
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTMCode1
Benchmarks and Custom Package for Energy ForecastingCode1
A Global Modeling Approach for Load Forecasting in Distribution Networks—0
A generalised multi-factor deep learning electricity load forecasting model for wildfire-prone areas—0
Adaptive model selection in photonic reservoir computing by reinforcement learning—0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach—0
A Neural Network-Based Energy Management System for PV-Battery Based Microgrids—0
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain—0
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting—0
Appliance Level Short-term Load Forecasting via Recurrent Neural Network—0
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)—0
An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
OptStream: Releasing Time Series Privately—0
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers—0
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru—0
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting—0
Building Energy Load Forecasting using Deep Neural Networks—0
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI—0
Block-FeDL: Electric Vehicle Charging Load Forecasting using Federated Learning and Blockchain—0
A Meta-learning based Distribution System Load Forecasting Model Selection Framework—0
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation—0
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand—0
Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids—0
Characterization of electric consumers through an automated clustering pipeline—0
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting—0
Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies—0
Clustering Enabled Few-Shot Load Forecasting—0
Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting—0
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives—0
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