A precise and efficient K-means-ELM model to improve ultra-short-term solar irradiance forecasting DOI
Mengyu Li, Y. Li, Yongfa Diao

et al.

Renewable energy focus, Journal Year: 2024, Volume and Issue: unknown, P. 100645 - 100645

Published: Oct. 1, 2024

Language: Английский

A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov–Arnold for solar radiation and temperature forecasting DOI Creative Commons
Yuan Gao, Zehuan Hu, Wei-An Chen

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 378, P. 124844 - 124844

Published: Nov. 15, 2024

Language: Английский

Citations

6
Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan DOI Creative Commons

Aayushi Tandon,

Amit Awasthi,

Kanhu Charan Pattnayak

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Jan. 28, 2025

Language: Английский

Citations

0
Statistical evaluation of a diversified surface solar irradiation data repository and forecasting using a recurrent neural network-hybrid model: A case study in Bhutan DOI Creative Commons

Sangay Gyeltshen,

Kiichiro Hayashi,

Linwei Tao

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122706 - 122706

Published: March 1, 2025

Language: Английский

Citations

0
Generalizable Wind Power Estimation from Historic Meteorological Data by Advanced Artificial Neural Networks DOI
Mert Akın İnsel,

Burcin Melek Ozturk,

Özgün Yücel

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122995 - 122995

Published: March 1, 2025

Language: Английский

Citations

0
A review on machine learning techniques in thermodynamic cycle system design and control for energy harvesting DOI
Xiaoya Li, Xiaoting Chen,

Wenshuai Que

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 218, P. 115802 - 115802

Published: May 4, 2025

Language: Английский

Citations

0
AI Technologies and Their Applications in Small-Scale Electric Power Systems DOI Creative Commons
Arqum Shahid, Freddy Plaum, Tarmo Korõtko

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 109984 - 110001

Published: Jan. 1, 2024

As the landscape of electric power systems is transforming towards decentralization, small-scale have garnered increased attention. Meanwhile, proliferation artificial intelligence (AI) technologies has provided new opportunities for system management. Thus, this review paper examines AI technology applications and their range uses in electrical systems. First, a brief overview evolution importance integration given. The background section explains principles systems, including stand-alone grid-interactive microgrids, hybrid virtual plants. A thorough analysis conducted on effects aspects such as energy consumption, demand response, grid management, operation, generation, storage. Based foundation, Acceleration Performance Indicators (AAPIs) are developed to establish standardized framework evaluating comparing different studies. AAPI considers binary scoring five quantitative Key (KPIs) qualitative KPIs examined through three-tiered scale – established, evolved, emerging.

Language: Английский

Citations

3
Interpretable deep learning framework for hourly solar radiation forecasting based on decomposing multi-scale variations DOI
You Li, Weisheng Zhou, Yafei Wang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124409 - 124409

Published: Sept. 9, 2024

Language: Английский

Citations

2
A new lightweight framework based on knowledge distillation for reducing the complexity of multi-modal solar irradiance prediction model DOI
Yunfei Zhang, Jun Shen, Jian Li

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 475, P. 143663 - 143663

Published: Sept. 16, 2024

Language: Английский

Citations

2
Federated learning for solar energy applications: A case study on real-time fault detection DOI
Ibtihal Ait Abdelmoula, Hicham Oufettoul,

Nassim Lamrini

et al.

Solar Energy, Journal Year: 2024, Volume and Issue: 282, P. 112942 - 112942

Published: Sept. 21, 2024

Language: Английский

Citations

2
Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review DOI Creative Commons
Filippo Sanfilippo,

Syed Muhammad Salman Bukhari,

Muhammad Hamza Zafar

et al.

Energy and AI, Journal Year: 2024, Volume and Issue: 18, P. 100438 - 100438

Published: Nov. 17, 2024

Language: Английский

Citations

2