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Load Forecasting

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Showing 201–235 of 235 papers

TitleStatusHype
AI-Powered Predictions for Electricity Load in Prosumer Communities—0
A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model—0
A Meta-learning based Distribution System Load Forecasting Model Selection Framework—0
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI—0
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru—0
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting—0
An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction—0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—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
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review—0
A Secure Federated Learning Framework for Residential Short Term Load Forecasting—0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach—0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
Automated Deep Learning for Load Forecasting—0
Automated Spatio-Temporal Weather Modeling for Load Forecasting—0
Block-FeDL: Electric Vehicle Charging Load Forecasting using Federated Learning and Blockchain—0
Building Energy Load Forecasting using Deep Neural Networks—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
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
Cost-Oriented Load Forecasting—0
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives—0
Daily peak electrical load forecasting with a multi-resolution approach—0
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
Data Selection for Short Term load forecasting—0
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids—0
Deep-Learning-Based, Multi-Timescale Load Forecasting in Buildings: Opportunities and Challenges from Research to Deployment—0
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey—0
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