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Load Forecasting

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Showing 151–200 of 235 papers

TitleStatusHype
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review—0
Daily peak electrical load forecasting with a multi-resolution approach—0
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load ForecastingCode1
Appliance Level Short-term Load Forecasting via Recurrent Neural Network—0
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting—0
Hierarchical transfer learning with applications for electricity load forecastingCode0
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting—0
Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting—0
Improving Load Forecast in Energy Markets During COVID-19—0
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting—0
Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network—0
Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning—0
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI—0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach—0
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain—0
Random vector functional link neural network based ensemble deep learning for short-term load forecasting—0
Learning Sparse Privacy-Preserving Representations for Smart Meters Data—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
Cost-Oriented Load Forecasting—0
National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?—0
Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning—0
Review of Low Voltage Load Forecasting: Methods, Applications, and RecommendationsCode1
Federated Learning for Short-term Residential Load Forecasting—0
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature—0
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey—0
Data-Driven Copy-Paste Imputation for Energy Time SeriesCode0
Probabilistic electric load forecasting through Bayesian Mixture Density Networks—0
Probabilistic Load Forecasting Based on Adaptive Online LearningCode1
Short-Term Load Forecasting using Bi-directional Sequential Models and Feature Engineering for Small DatasetsCode1
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation—0
Recurrent Neural Based Electricity Load Forecasting of G-20 Members—0
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)—0
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems—0
Forecasting Short-term load using Econometrics time series model with T-student Distribution—0
A Meta-learning based Distribution System Load Forecasting Model Selection Framework—0
N-BEATS neural network for mid-term electricity load forecastingCode0
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France—0
LfEdNet: A Task-based Day-ahead Load Forecasting Model for Stochastic Economic Dispatch—0
Deep-Learning-Based, Multi-Timescale Load Forecasting in Buildings: Opportunities and Challenges from Research to Deployment—0
Short-term forecasting of Amazon rainforest fires based on ensemble decomposition modelCode0
Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation—0
Using Mobility for Electrical Load Forecasting During the COVID-19 PandemicCode0
Peak Forecasting for Battery-based Energy Optimizations in Campus Microgrids—0
Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting—0
Adaptive model selection in photonic reservoir computing by reinforcement learning—0
Pattern-based Long Short-term Memory for Mid-term Electrical Load Forecasting—0
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks—0
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation modelCode0
A Hybrid Residual Dilated LSTM end Exponential Smoothing Model for Mid-Term Electric Load Forecasting—0
Pattern Similarity-based Machine Learning Methods for Mid-term Load Forecasting: A Comparative Study—0
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