SOTAVerified

Load Forecasting

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 235 papers

TitleStatusHype
Stacking for Probabilistic Short-term Load Forecasting—0
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM—0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
Block-FeDL: Electric Vehicle Charging Load Forecasting using Federated Learning and Blockchain—0
Multiscale Spatio-Temporal Enhanced Short-term Load Forecasting of Electric Vehicle Charging Stations—0
Efficient mid-term forecasting of hourly electricity load using generalized additive modelsCode0
Automated Deep Learning for Load Forecasting—0
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network—0
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and PredictionCode0
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach—0
Some variation of COBRA in sequential learning setup—0
TimeGPT in Load Forecasting: A Large Time Series Model Perspective—0
Exploring Lightweight Federated Learning for Distributed Load Forecasting—0
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers—0
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction—0
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load ForecastingCode1
Adaptive time series forecasting with markovian variance switching—0
AI-Powered Predictions for Electricity Load in Prosumer Communities—0
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition—0
Privacy-Preserving Distributed Learning for Residential Short-Term Load ForecastingCode0
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end LearningCode0
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids—0
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation—0
Load Data Valuation in Multi-Energy Systems: An End-to-End Approach—0
Forte: An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting—0
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System—0
Utilizing Language Models for Energy Load ForecastingCode0
Secure short-term load forecasting for smart grids with transformer-based federated learning—0
Interactive Generalized Additive Model and Its Applications in Electric Load Forecasting—0
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time seriesCode0
Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting—0
Probabilistic Load Forecasting of Distribution Power Systems based on Empirical Copulas—0
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients—0
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learningCode0
Short-Term Load Forecasting Using A Particle-Swarm Optimized Multi-Head Attention-Augmented CNN-LSTM Network—0
Short-term power load forecasting method based on CNN-SAEDN-Res—0
Task-Aware Machine Unlearning and Its Application in Load ForecastingCode1
Probabilistic load forecasting with Reservoir Computing—0
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolutionCode1
Residential Load Forecasting: An Online-Offline Deep Kernel Learning MethodCode0
DeepTSF: Codeless machine learning operations for time series forecastingCode0
Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load ForecastingCode0
Benchmarks and Custom Package for Energy ForecastingCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
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
DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion ModelCode1
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.