| A Neural Network-Based Energy Management System for PV-Battery Based Microgrids | Jun 14, 2022 | energy managementLoad Forecasting | —Unverified | 0 |
| A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain | Aug 5, 2021 | energy managementLoad Forecasting | —Unverified | 0 |
| An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting | May 11, 2017 | Load ForecastingTime Series | —Unverified | 0 |
| Appliance Level Short-term Load Forecasting via Recurrent Neural Network | Nov 23, 2021 | Decision MakingLoad Forecasting | —Unverified | 0 |
| Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP) | Oct 9, 2020 | Emotion RecognitionInformation Retrieval | —Unverified | 0 |
| An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction | Feb 5, 2023 | Anomaly DetectionLoad Forecasting | —Unverified | 0 |
| IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting | May 16, 2025 | Computational EfficiencyDeep Learning | —Unverified | 0 |
| OptStream: Releasing Time Series Privately | Aug 6, 2018 | Decision MakingLoad Forecasting | —Unverified | 0 |
| DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks | May 15, 2023 | Change Detectionenergy management | —Unverified | 0 |
| Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers | Apr 1, 2024 | Federated LearningLoad Forecasting | —Unverified | 0 |
| A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru | Sep 26, 2024 | Learning TheoryLoad Forecasting | —Unverified | 0 |
| Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting | Dec 1, 2012 | Additive modelsLoad Forecasting | —Unverified | 0 |
| Building Energy Load Forecasting using Deep Neural Networks | Oct 29, 2016 | Decision Makingenergy management | —Unverified | 0 |
| AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI | Sep 13, 2021 | BIG-bench Machine Learningenergy management | —Unverified | 0 |
| Block-FeDL: Electric Vehicle Charging Load Forecasting using Federated Learning and Blockchain | May 29, 2024 | Federated LearningLoad Forecasting | —Unverified | 0 |
| A Meta-learning based Distribution System Load Forecasting Model Selection Framework | Sep 25, 2020 | Load ForecastingMeta-Learning | —Unverified | 0 |
| A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation | Nov 4, 2020 | BIG-bench Machine Learningenergy trading | —Unverified | 0 |
| Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand | Sep 19, 2022 | counterfactualLoad Forecasting | —Unverified | 0 |
| Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids | Jul 19, 2022 | Load Forecasting | —Unverified | 0 |
| Characterization of electric consumers through an automated clustering pipeline | May 10, 2022 | ClusteringLoad Forecasting | —Unverified | 0 |
| Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting | Oct 13, 2023 | feature selectionLoad Forecasting | —Unverified | 0 |
| Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies | Dec 21, 2018 | ArticlesClassification | —Unverified | 0 |
| Clustering Enabled Few-Shot Load Forecasting | Feb 16, 2022 | ClusteringLoad Forecasting | —Unverified | 0 |
| Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting | Nov 25, 2024 | Load Forecasting | —Unverified | 0 |
| Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives | Apr 17, 2023 | Federated LearningLoad Forecasting | —Unverified | 0 |
