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Load Forecasting

Papers

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Showing 176–200 of 235 papers

TitleStatusHype
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting—0
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning—0
TimeGPT in Load Forecasting: A Large Time Series Model Perspective—0
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System—0
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature—0
Variational Autoencoder-Based Approach to Latent Feature Analysis on Efficient Representation of Power Load Monitoring Data—0
Zero Initialization of modified Gated Recurrent Encoder-Decoder Network for Short Term Load Forecasting—0
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning—0
OptStream: Releasing Time Series Privately—0
Zero-Shot Load Forecasting with Large Language Models—0
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models—0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting—0
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers—0
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting—0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
Adaptive model selection in photonic reservoir computing by reinforcement learning—0
Adaptive Probabilistic Forecasting of Electricity (Net-)Load—0
Adaptive time series forecasting with markovian variance switching—0
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation—0
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers—0
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach—0
A generalised multi-factor deep learning electricity load forecasting model for wildfire-prone areas—0
A Global Modeling Approach for Load Forecasting in Distribution Networks—0
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction—0
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting—0
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