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Load Forecasting

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Showing 76–100 of 235 papers

TitleStatusHype
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting—0
Characterization of electric consumers through an automated clustering pipeline—0
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting—0
Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids—0
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand—0
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru—0
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers—0
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models—0
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
Building Energy Load Forecasting using Deep Neural Networks—0
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI—0
Electric Vehicle Driver Clustering using Statistical Model and Machine Learning—0
Exploring Lightweight Federated Learning for Distributed Load Forecasting—0
Exploring Physical-Based Constraints in Short-Term Load Forecasting: A Defense Mechanism Against Cyberattack—0
Facilitating AI and System Operator Synergy: Active Learning-Enhanced Digital Twin Architecture for Day-Ahead Load Forecasting—0
Electricity Load Forecasting -- An Evaluation of Simple 1D-CNN Network Structures—0
Federated Learning for Short-term Residential Load Forecasting—0
Block-FeDL: Electric Vehicle Charging Load Forecasting using Federated Learning and Blockchain—0
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients—0
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers—0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
Forecasting Short-term load using Econometrics time series model with T-student Distribution—0
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting—0
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning—0
A Meta-learning based Distribution System Load Forecasting Model Selection Framework—0
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