Research on Intelligent Patrol System for Wind Power Station

Author:

Zhao Jinyang1ORCID,Zhang Lei1ORCID,Chen Zhiyong1ORCID

Affiliation:

1. Liaoning Electric Power Energy Development Group Co., Ltd., China

Publisher

ACM

Reference12 articles.

1. Short-term Wind Power Prediction Method Based on UAV Patrol and Deep Confidence Network;Yiming Z.;Distributed Generation & Alternative Energy Journal,2022

2. Analysis of power generation equipment failure and influencing factors in a wind-solar power station

3. Jianjun, W., Xiaoqian, M., Jian, S., Lei, L., Jingang, Y., & Fengkai, Y. (2020). Research on Meteorological Early Warning Technology of Helicopter Patrol in High Altitude Area. In 2020 International Conference on Computer Engineering and Application (ICCEA) (pp. 618-621, 2020, March). IEEE.

4. From the familiar to the extraordinary: local residents’ perceptions of risk when living with nuclear power in the UK

5. Galbraith, K., & Price, A. (2013). The great Texas wind rush: how George Bush, Ann Richards, and a bunch of tinkerers helped the oil and gas state win the race to wind power. University of Texas Press.

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