A Two-Stage Method for Ultra-Short-Term PV Power Forecasting Based on Data-Driven-Reference-Cited by-同舟云学术

A Two-Stage Method for Ultra-Short-Term PV Power Forecasting Based on Data-Driven

Author:

Zhou Hangxia¹,Wang Jun¹^ORCID,Ouyang Fulian¹,Cui Chen²,Li Xianbin¹

Affiliation:

1. Laboratory of Big Data and Artificial Intelligence, College of Information and Engineering, China Jiliang University, Hangzhou, China

2. Key Laboratory of Public Security Information Application Based on Big Data Architecture, Zhejiang Police College, Hangzhou, China

Funder

Zhejiang Province Public Welfare Technology Application Research Project

Ministry of Public Security Open Subjects of the Key Laboratory of Public Security Information Application Based on Big Data Architecture

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference36 articles.

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