Regional PV installed capacity forecasting considering generation costs and time lag of influential factors

Author:

Zhao Teng1,Zhang Yan1

Affiliation:

1. Department of Electrical Engineering; Shanghai Jiao Tong University; Shanghai 200240 China

Funder

National High-tech R&D Program

State Grid Science & Technology Project

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference54 articles.

1. National Energy Administration of China http://www.nea.gov.cn/2014-04/28/c_133296165.htm

2. Issues for power system operation for future renewable energy penetration: Robust power system security;Yorino;Electrical Engineering in Japan,2013

3. Kausika B Folkerts W Sark WV Siebenga B Hermans P 29th European Photovoltaic Solar Energy Conference and Exhibition 2014

4. Forecasting power output of photovoltaic systems based on weather classification and support vector machines;Shi;IEEE Transactions on Industry Applications,2012

5. Multitime-scale data-driven spatio-temporal forecast of photovoltaic generation;Yang;IEEE Transactions on Sustainable Energy,2015

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