Cloud Feature Extraction and Fluctuation Pattern Recognition Based Ultrashort-Term Regional PV Power Forecasting-Reference-Cited by-同舟云学术

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Cloud Feature Extraction and Fluctuation Pattern Recognition Based Ultrashort-Term Regional PV Power Forecasting

Published:2022-09 Issue:5 Volume:58 Page:6752-6767
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Wang Fei¹^ORCID,Li Jianan¹^ORCID,Zhen Zhao¹^ORCID,Wang Chao²,Ren Hui¹,Ma Hui³^ORCID,Zhang Wei³,Huang Lang⁴

Affiliation:

1. Department of Electrical Engineering, North China Electric Power University, Baoding, China

2. Dispatch and Control Center, Inner Mongolia Power (Group) Company, Ltd., Hohhot, China

3. Beijing Goldwind Smart Energy Technology Company, Ltd., Beijing, China

4. TBEA Xinjiang Sunoasis Company, Ltd., Xian, China

Funder

National Natural Science Foundation of China

Science and Technology Project of State Grid Xinjiang Electric Power Company, Ltd, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/9895356/09808400.pdf?arnumber=9808400

Reference58 articles.

1. HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

2. Accelerating Very Deep Convolutional Networks for Classification and Detection

3. Forecasting Photovoltaic Power Generation Using Satellite Images

4. Short-term Solar Power Prediction Learning Directly from Satellite Images With Regions of Interest

5. Data-driven upscaling methods for regional photovoltaic power estimation and forecast using satellite and numerical weather prediction data

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