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Load Forecasting

Papers

Showing 150 of 235 papers

TitleStatusHype
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series ForecastingCode2
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing FlowsCode2
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolutionCode1
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
Short-Term Load Forecasting using Bi-directional Sequential Models and Feature Engineering for Small DatasetsCode1
Task-Aware Machine Unlearning and Its Application in Load ForecastingCode1
Benchmarks and Custom Package for Energy ForecastingCode1
Probabilistic Load Forecasting Based on Adaptive Online LearningCode1
ES-dRNN with Dynamic Attention for Short-Term Load ForecastingCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Review of Low Voltage Load Forecasting: Methods, Applications, and RecommendationsCode1
Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTMCode1
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical ChallengeCode1
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load ForecastingCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
Deep Adaptive Input Normalization for Time Series ForecastingCode1
Load Forecasting for Households and Energy Communities: Are Deep Learning Models Worth the Effort?Code1
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load ForecastingCode1
Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal FeaturesCode1
Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited DataCode0
Short-term Load Forecasting with Deep Residual NetworksCode0
Transformer Training Strategies for Forecasting Multiple Load Time SeriesCode0
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and PredictionCode0
An Ensemble Framework for Probabilistic Short-Term Load Forecasting Based on BiTCN and Deep Attention NetworksCode0
Optimal Adaptive Prediction Intervals for Electricity Load Forecasting in Distribution Systems via Reinforcement LearningCode0
Privacy-Preserving Distributed Learning for Residential Short-Term Load ForecastingCode0
Short-term forecasting of Amazon rainforest fires based on ensemble decomposition modelCode0
Residential Load Forecasting: An Online-Offline Deep Kernel Learning MethodCode0
Using Mobility for Electrical Load Forecasting During the COVID-19 PandemicCode0
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time seriesCode0
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman PseudospectraCode0
Hierarchical transfer learning with applications for electricity load forecastingCode0
LFRT, A MATLAB Toolbox for Load Forecast & Assesment of Additional Capacity for an Electrical Power SystemCode0
From Dense to Sparse: Event Response for Enhanced Residential Load ForecastingCode0
Generative Modeling and Data Augmentation for Power System Production SimulationCode0
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learningCode0
Availability Adversarial Attack and Countermeasures for Deep Learning-based Load ForecastingCode0
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end LearningCode0
Efficient mid-term forecasting of hourly electricity load using generalized additive modelsCode0
A Unifying Framework of Attention-based Neural Load ForecastingCode0
Fast and Accurate Time Series Classification with WEASELCode0
Electrical load forecasting using hybrid of extreme gradient boosting and light gradient boosting machineCode0
Deep Learning for Time Series Forecasting: The Electric Load CaseCode0
Just In Time TransformersCode0
DeepTSF: Codeless machine learning operations for time series forecastingCode0
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation modelCode0
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load ForecastingCode0
Data-Driven Copy-Paste Imputation for Energy Time SeriesCode0
Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load ForecastingCode0
N-BEATS neural network for mid-term electricity load forecastingCode0
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