Distributed Photovoltaic Load Probability Forecasting Model Based on Clustering Characteristic-Reference-Cited by-同舟云学术

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Distributed Photovoltaic Load Probability Forecasting Model Based on Clustering Characteristic

Published:2023-10-27 Issue: Volume:33 Page:1-9
ISSN:
Container-title:The 6th International Conference on Machine Learning and Machine Intelligence
language:
Short-container-title:

Author:

Hu Hailin¹^ORCID,Yan Li¹^ORCID

Affiliation:

1. Data Center, State Grid Shandong Electric Power Company Information and Telecommunication Company, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3635638.3635639

Reference27 articles.

1. analysis of grid-connected distributed photovoltaic generation [J];Jian Su;Proceedings of the CSEE,2013

2. Analysis and countermeasures of voltage over-limit under high-density distributed photovoltaic access [J];Ying Wang;Proceedings of the CSEE,2016

3. Installed Capacity Forecasting for Distributed Photovoltaic Considering Herd Mentality of Users [J];Luyang Wu;Automation of Electric Power Systems,2022

4. Distributed photovoltaic mechanism-data hybrid driven short-term power prediction considering information time shift [J];Biao Wang;Automation of Electric Power Systems,2022

5. Blending distributed photovoltaic and demand load forecasts

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