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Load Forecasting

Papers

Showing 76100 of 235 papers

TitleStatusHype
Efficient Unit Commitment Constraint Screening under Uncertainty0
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach0
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction0
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks0
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning0
Electricity Load Forecasting -- An Evaluation of Simple 1D-CNN Network Structures0
Electric Vehicle Driver Clustering using Statistical Model and Machine Learning0
Distributed Stochastic ACOPF Based on Consensus ADMM and Scenario Reduction0
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting0
Diffusion Model Based Probabilistic Day-ahead Load Forecasting0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids0
Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation0
Exploring Lightweight Federated Learning for Distributed Load Forecasting0
Exploring Physical-Based Constraints in Short-Term Load Forecasting: A Defense Mechanism Against Cyberattack0
Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting0
Characterization of electric consumers through an automated clustering pipeline0
Federated Learning for Short-term Residential Load Forecasting0
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting0
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients0
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach0
Forecasting Short-term load using Econometrics time series model with T-student Distribution0
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting0
Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach0
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