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Load Forecasting

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Showing 101–150 of 235 papers

TitleStatusHype
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting—0
Stacked Boosters Network Architecture for Short Term Load Forecasting in Buildings—0
Stacking for Probabilistic Short-term Load Forecasting—0
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting—0
Submodular Load Clustering with Robust Principal Component Analysis—0
Systematic review of deep learning and machine learning for building energy—0
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting—0
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning—0
TimeGPT in Load Forecasting: A Large Time Series Model Perspective—0
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System—0
Uncovering Dominant Features in Short-term Power Load Forecasting Based on Multi-source Feature—0
Variational Autoencoder-Based Approach to Latent Feature Analysis on Efficient Representation of Power Load Monitoring Data—0
Zero Initialization of modified Gated Recurrent Encoder-Decoder Network for Short Term Load Forecasting—0
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning—0
OptStream: Releasing Time Series Privately—0
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models—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
Federated Learning for Short-term Residential Load Forecasting—0
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting—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
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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