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Load Forecasting

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Showing 151–200 of 235 papers

TitleStatusHype
Short Term Electric Load Forecast with Artificial Neural Networks—0
Short-Term Forecasting of Thermostatic and Residential Loads Using Long Short-Term Memory Recurrent Neural Networks—0
Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis—0
Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting—0
Short-Term Load Forecasting for AI-Data Center—0
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning—0
Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network—0
Short Term Load Forecasting Using Deep Neural Networks—0
Short-term load forecasting using optimized LSTM networks based on EMD—0
Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network—0
Short-term Load Forecasting with Dense Average Network—0
Short-term Load Forecasting with Distributed Long Short-Term Memory—0
Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting—0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation—0
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network—0
Short-term power load forecasting method based on CNN-SAEDN-Res—0
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
Some variation of COBRA in sequential learning setup—0
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting—0
Stacked Boosters Network Architecture for Short Term Load Forecasting in Buildings—0
Stacking for Probabilistic Short-term Load Forecasting—0
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting—0
Submodular Load Clustering with Robust Principal Component Analysis—0
Systematic review of deep learning and machine learning for building energy—0
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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