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Load Forecasting

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Showing 126–150 of 235 papers

TitleStatusHype
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
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models—0
Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators—0
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble—0
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks—0
HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting—0
Short-Term Load Forecasting Using AMI Data—0
Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities—0
Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation—0
Information Theoretical Importance Sampling Clustering—0
Improve Load Forecasting in Energy Communities through Transfer Learning using Open-Access Synthetic Profiles—0
Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid—0
Improving Load Forecast in Energy Markets During COVID-19—0
Improving Power Generation Efficiency using Deep Neural Networks—0
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks—0
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance—0
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting—0
Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors—0
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition—0
Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging—0
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting—0
Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers—0
KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios—0
Large Language Model-Empowered Interactive Load Forecasting—0
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