SOTAVerified

Load Forecasting

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 235 papers

TitleStatusHype
An Error Correction Mid-term Electricity Load Forecasting Model Based on Seasonal Decomposition—0
Cost-Oriented Load Forecasting—0
Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives—0
Daily peak electrical load forecasting with a multi-resolution approach—0
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain—0
Data Selection for Short Term load forecasting—0
A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation—0
Deep Learning-Based Cyber-Attack Detection Model for Smart Grids—0
Deep-Learning-Based, Multi-Timescale Load Forecasting in Buildings: Opportunities and Challenges from Research to Deployment—0
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey—0
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)—0
Short-Term Load Forecasting Using AMI Data—0
Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation—0
A load forecasting approach for integrated energy systems based on aggregation hybrid modal decomposition and combined model—0
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers—0
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble—0
Adaptive time series forecasting with markovian variance switching—0
Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
AI-Powered Predictions for Electricity Load in Prosumer Communities—0
Who should I trust? A Visual Analytics Approach for Comparing Net Load Forecasting Models—0
Automated Deep Learning for Load Forecasting—0
Effective End-to-End Learning Framework for Economic Dispatch—0
Automated Spatio-Temporal Weather Modeling for Load Forecasting—0
Efficient Unit Commitment Constraint Screening under Uncertainty—0
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach—0
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction—0
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks—0
Electrical Load Forecasting over Multihop Smart Metering Networks with Federated Learning—0
Electricity Load Forecasting -- An Evaluation of Simple 1D-CNN Network Structures—0
Electric Vehicle Driver Clustering using Statistical Model and Machine Learning—0
Distributed Stochastic ACOPF Based on Consensus ADMM and Scenario Reduction—0
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
Diffusion Model Based Probabilistic Day-ahead Load Forecasting—0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation—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
Characterization of electric consumers through an automated clustering pipeline—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
Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting—0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach—0
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.