A Hybrid Approach for Day-Ahead Forecast of PV Power Generation-Reference-Cited by-同舟云学术

A Hybrid Approach for Day-Ahead Forecast of PV Power Generation

Published:2018 Issue:28 Volume:51 Page:634-638
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Lu H.J.,Chang G.W.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference14 articles.

1. Probabilistic modeling of solar power systems;Safie;Reliability and Maintainability Symposium,1989

2. Hybrid solar wind power system probabilistic modeling for long-term performance assessment;Tina;Solar Energy,2006

3. Chowdhury, B. H. (1989). Central-station photovoltaic plant with energy storage for utility peak load levelling. Energy Conversion Engineering Conference, Washington, DC, USA.

4. Voltage fluctuations on distribution level introduced by photovoltaics systems;Woyte;IEEE Trans. on Energy Convers,2006

5. A review of key power system stability challenges for large-scale PV integration;Mithulananthan;Renewable and Sustaniable Energy Reviews,2015

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