[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review

S Barja-Martinez, M Aragüés-Peñalba… - … and Sustainable Energy …, 2021 - Elsevier
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

A review for green energy machine learning and AI services

Y Mehta, R Xu, B Lim, J Wu, J Gao - Energies, 2023 - mdpi.com
There is a growing demand for Green AI (Artificial Intelligence) technologies in the market
and society, as it emerges as a promising technology. Green AI technologies are used to …

Wholesale electricity price forecasting using integrated long-term recurrent convolutional network model

V Sridharan, M Tuo, X Li - Energies, 2022 - mdpi.com
Electricity price forecasts have become a fundamental factor affecting the decision-making of
all market participants. Extreme price volatility has forced market participants to hedge …

Similarity-based models for day-ahead solar PV generation forecasting

H Sangrody, N Zhou, Z Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Accurate forecasting of solar photovoltaic (PV) power for the next day plays an important role
in unit commitment, economic dispatch, and storage system management. However …

[PDF][PDF] 电力行业大数据研究综述

赵海波 - 电工电能新技术, 2020 - ateee.iee.ac.cn
电力行业大数据研究综述 Page 1 第39卷第12期 2020年12月 电工电能新技术 Advanced
Technology of Electrical Engineering and Energy Vol.39ꎬ No.12 Dec. 2020 收稿日期: 2020-04-27 …

A review of machine learning applications in electricity market studies

S Mohammadi, MR Hesamzadeh… - … on Intelligent Grid …, 2020 - ieeexplore.ieee.org
Liberalized electricity markets have been studied for the past few decades with different
mathematical techniques. Operating these markets under the growing uncertainties has …

[图书][B] Application of artificial intelligence in three phase unbalanced smart power distribution grid

D Tiwari - 2021 - search.proquest.com
Electrification of the transportation sector can play an essential role in curbing fossil fuel
scarcity and oil shortages in the world. Electric vehicles (EVs) can significantly reduce CO 2 …

Energy management systems for smart homes and local energy communities based on optimization and artificial intelligence techniques

S Barja Martínez - 2023 - upcommons.upc.edu
(English) The rapid advancement of digitalization, combined with the integration of
renewable generation and the development of information and communication technologies …

Deep Models for Improving the Performance and Reliability of Person Recognition

S Soleymani - 2021 - researchrepository.wvu.edu
Deep models have provided high accuracy for different applications such as person
recognition, image segmentation, image captioning, scene description, and action …

[图书][B] Sensor-Assisted Enhancement of Cyber and Physical Resilience in Power Systems

M Sarailoo - 2019 - search.proquest.com
The focus of this dissertation is on seeking ways to enhance cyber and physical resilience in
power systems. The enhanced resilience is achieved via placement, networking, of modern …