Cover Image

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Maneshni, Aurausp
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
by: Rahman, Ratun, et al.
Published: (2024)

Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features
by: Orji, Ugochukwu, et al.
Published: (2025)

On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2025)

Universal Differential Equations for Scientific Machine Learning of Node-Wise Battery Dynamics in Smart Grids
by: S., Tarushri N.
Published: (2025)

Zero-Shot Load Forecasting with Large Language Models
by: Liao, Wenlong, et al.
Published: (2024)

Ionospheric Scintillation Forecasting Using Machine Learning
by: Halawa, Sultan, et al.
Published: (2024)

Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation
by: Biswas, Chinmoy, et al.
Published: (2025)

Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
by: Bose, Shourya, et al.
Published: (2024)

DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load
by: Li, Siyang, et al.
Published: (2024)

Large Language Models for Detecting Cyberattacks on Smart Grid Protective Relays
by: Saber, Ahmad Mohammad, et al.
Published: (2026)

Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
by: Jiang, Yuqi, et al.
Published: (2024)

Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting
by: Clark IV, William H., et al.
Published: (2022)

Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security
by: Dutta, Monica, et al.
Published: (2025)

Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
by: Wang, Xinyi, et al.
Published: (2024)

Recent Advances on Machine Learning-aided DSP for Short-reach and Long-haul Optical Communications
by: Schmalen, Laurent, et al.
Published: (2024)

Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data
by: Li, Xiangrui
Published: (2024)

Resilient Temporal GCN for Smart Grid State Estimation Under Topology Inaccuracies
by: Haghshenas, Seyed Hamed, et al.
Published: (2024)

Modeling of Core Loss Based on Machine Learning and Deep Learning
by: He, Junqi, et al.
Published: (2025)

Token Communication in the Era of Large Models: An Information Bottleneck-Based Approach
by: Wei, Hao, et al.
Published: (2025)

COLD: Concurrent Loads Disaggregator for Non-Intrusive Load Monitoring
by: Kamyshev, Ilia, et al.
Published: (2021)

Fitting Multiple Machine Learning Models with Performance Based Clustering
by: Lorasdagi, Mehmet Efe, et al.
Published: (2024)

Contrastive Learning-based User Identification with Limited Data on Smart Textiles
by: Zhang, Yunkang, et al.
Published: (2024)

Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey
by: Bulut, Mehmet
Published: (2021)

Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds
by: Davoodnia, Vandad, et al.
Published: (2020)

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
by: Hippert-Ferrer, Alexandre, et al.
Published: (2025)

Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France
by: Lindas, Eloi, et al.
Published: (2025)

Kolmogorov-Arnold Recurrent Network for Short Term Load Forecasting Across Diverse Consumers
by: Danish, Muhammad Umair, et al.
Published: (2025)

RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models
by: Bolton, Anthony, et al.
Published: (2025)

STDHL: Spatio-Temporal Dynamic Hypergraph Learning for Wind Power Forecasting
by: Dong, Xiaochong, et al.
Published: (2024)

Predicting Fine-grained Behavioral and Psychological Symptoms of Dementia Based on Machine Learning and Smart Wearable Devices
by: Hsu, Benny Wei-Yun, et al.
Published: (2024)

Robustness Evaluation of Machine Learning Models for Fault Classification and Localization In Power System Protection
by: Oelhaf, Julian, et al.
Published: (2025)

Channel Charting in Smart Radio Environments
by: Maleki, Mahdi, et al.
Published: (2025)

A Gradient Boosted Mixed-Model Machine Learning Framework for Vessel Speed in the U.S. Arctic
by: Pant, Mauli, et al.
Published: (2026)

Performance Monitoring of Proton Exchange Membrane Water Electrolyzer by Transformers-Based Machine Learning Model
by: Chen, Bingqing, et al.
Published: (2026)

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions
by: Mamun, Abdullah, et al.
Published: (2024)

Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series
by: Athanasoulias, Sotirios
Published: (2025)

Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array
by: Hu, Yunqiao, et al.
Published: (2024)

Short-Term Photovoltaic Forecasting Model for Qualifying Uncertainty during Hazy Weather
by: Yang, Xuan, et al.
Published: (2024)

Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting
by: Farahmand, Ebrahim, et al.
Published: (2024)

Distributed Sensing Along Fibres for Smart Clothing
by: Hannigan, Brett C., et al.
Published: (2024)