An empirical analysis of applications of artificial intelligence algorithms in wind power technology innovation during 1980–2017

M Lee, G He - Journal of Cleaner Production, 2021 - Elsevier
We investigated the applications of artificial intelligence (AI) algorithms in wind power
technology changes over time and found that AI accelerates the automation of wind power …

Application of machine learning algorithms in wind power: a review

YC Deng, XH Tang, ZY Zhou, Y Yang… - Energy Sources, Part A …, 2021 - Taylor & Francis
Literature review is an overview of existing research, it can also be used to understand
research trends and directions. In recent years, the literature associated with wind power …

Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis

J Wang, L Cheng, L Feng, KY Lin, L Zhang… - Advanced Engineering …, 2023 - Elsevier
To track the dynamics of AI and wind power technology knowledge interaction and predict
future interaction directions, this study proposes a multiview and multilayer patent analysis …

Technological evolution of wind energy with social network analysis

F Altuntas, MŞ Gök - Kybernetes, 2021 - emerald.com
Purpose The purpose of this paper is to analyze the wind energy technologies using the
social network analysis based on patent information. Analysis of patent documents with …

A review on proliferation of artificial intelligence in wind energy forecasting and instrumentation management

L Zhao, MS Nazir, HMJ Nazir, AN Abdalla - Environmental Science and …, 2022 - Springer
Energy is the source of economic growth, and energy consumption indicates the country's
state of development. Energy engineering is a relatively new technical discipline. It is …

A study on the deduction and diffusion of promising artificial intelligence technology for sustainable industrial development

HJ Lee, H Oh - Sustainability, 2020 - mdpi.com
Based on the rapid development of Information and Communication Technology (ICT), all
industries are preparing for a paradigm shift as a result of the Fourth Industrial Revolution …

[HTML][HTML] Application of machine learning for wind energy from design to energy-Water nexus: A Survey

F Elyasichamazkoti, A Khajehpoor - Energy Nexus, 2021 - Elsevier
The world's dependency on fossil fuels is decreasing swiftly, and countries rely more on
renewable energies. Among renewable energies, wind energy has become one of the most …

The impact of artificial intelligence technology on market public administration in a complex market environment

Y Lu, X Gao - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
Artificial intelligence (AI) technology is applied to various fields and industries with the rapid
development of Internet technology. This study aims to promote the intelligent popularization …

[HTML][HTML] New developments in wind energy forecasting with artificial intelligence and big data: A scientometric insight

E Zhao, S Sun, S Wang - Data Science and Management, 2022 - Elsevier
Accurate forecasting results are crucial for increasing energy efficiency and lowering energy
consumption in wind energy. Big data and artificial intelligence (AI) have great potential in …

Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system

X Zhao, C Wang, J Su, J Wang - Renewable energy, 2019 - Elsevier
Wind energy is an increasing concern for wind farm administrators. Effective wind energy
potential analysis and accurate forecasting can reduce the operating cost of wind farms …