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Load Forecasting

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Showing 101–150 of 235 papers

TitleStatusHype
Meta-Regression Analysis of Errors in Short-Term Electricity Load Forecasting—0
Leveraging Predictions in Power System Frequency Control: an Adaptive Approach—0
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources—0
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
A Unifying Framework of Attention-based Neural Load ForecastingCode0
LSTM-based Load Forecasting Robustness Against Noise Injection Attack in Microgrid—0
A generalised multi-factor deep learning electricity load forecasting model for wildfire-prone areas—0
Probabilistic Forecast-based Portfolio Optimization of Electricity Demand at Low Aggregation Levels—0
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives—0
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman PseudospectraCode0
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting—0
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids—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
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers—0
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models—0
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTMCode1
Information Theoretical Importance Sampling Clustering—0
An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction—0
Multi Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model—0
Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited DataCode0
Adaptive Probabilistic Forecasting of Electricity (Net-)Load—0
Availability Adversarial Attack and Countermeasures for Deep Learning-based Load ForecastingCode0
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load ForecastingCode0
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble—0
Probabilistic Forecasting Methods for System-Level Electricity Load Forecasting—0
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning—0
A Secure Federated Learning Framework for Residential Short Term Load Forecasting—0
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand—0
Short-term Load Forecasting with Distributed Long Short-Term Memory—0
Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids—0
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach—0
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets—0
A Neural Network-Based Energy Management System for PV-Battery Based Microgrids—0
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement LearningCode0
Characterization of electric consumers through an automated clustering pipeline—0
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing FlowsCode2
Optimization-Based Ramping Reserve Allocation of BESS for AGC Enhancement—0
A Global Modeling Approach for Load Forecasting in Distribution Networks—0
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study—0
Exploring Physical-Based Constraints in Short-Term Load Forecasting: A Defense Mechanism Against Cyberattack—0
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks—0
KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios—0
Electrical load forecasting using hybrid of extreme gradient boosting and light gradient boosting machineCode0
ES-dRNN with Dynamic Attention for Short-Term Load ForecastingCode1
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers—0
Systematic review of deep learning and machine learning for building energy—0
Clustering Enabled Few-Shot Load Forecasting—0
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical ChallengeCode1
Experimental Investigation of Variational Mode Decomposition and Deep Learning for Short-Term Multi-horizon Residential Electric Load Forecasting—0
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting—0
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