The Regional Distributed PV Ultra-short-term Power Forecasting Based on Static-dynamic Spatiotemporal Correlation Modeling-Reference-Cited by-同舟云学术

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The Regional Distributed PV Ultra-short-term Power Forecasting Based on Static-dynamic Spatiotemporal Correlation Modeling

Published:2023-12-03 Issue: Volume:33 Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG)
language:
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Author:

Zhu Yu¹,Yang Le¹,Yang Xizai¹,Xu Fei²,Su Zinuo²,Zhen Zhao²

Affiliation:

1. Information and Communication Technology R & D Center State Grid Shaanxi Electric Power Co., Ltd. Information and Communication Company,Xi’an,China,710048

2. State Key Laboratory of Power System Operation and Control Tsinghua University,Beijing,China,100084

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406302/10407105/10407888.pdf?arnumber=10407888

Reference19 articles.

1. Optimal Bidding Strategy of Demand Response Aggregator Based On Customers’ Responsiveness Behaviors Modeling Under Different Incentives

2. Joint Energy Disaggregation of Behind-the-Meter PV and Battery Storage: A Contextually Supervised Source Separation Approach

3. A classified forecasting approach of power generation for photovoltaic plants based on weather condition pattern recognition;Wang;Proc. CSEE,2013

4. Regional forecasts of photovoltaic power generation according to different data availability scenarios: a study of four methods

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