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Load Forecasting

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TitleStatusHype
Short-term power load forecasting method based on CNN-SAEDN-Res—0
Probabilistic load forecasting with Reservoir Computing—0
Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load ForecastingCode0
Residential Load Forecasting: An Online-Offline Deep Kernel Learning MethodCode0
DeepTSF: Codeless machine learning operations for time series forecastingCode0
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
Transformer Training Strategies for Forecasting Multiple Load Time SeriesCode0
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events—0
Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging—0
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
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
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
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks—0
Exploring Physical-Based Constraints in Short-Term Load Forecasting: A Defense Mechanism Against Cyberattack—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
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