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

Author:

Fonseca Junior Joao Gari da Silva1,Oozeki Takashi1,Ohtake Hideaki1,Takashima Takumi1,Ogimoto Kazuhiko2

Affiliation:

1. National Institute of Advanced Industrial Science and Technology, AIST Tsukuba Central 2; 305-8568 Tsukuba Ibaraki Japan

2. Institute of Industrial Science (IIS), Collaborative Research Center for Energy Engineering (CEE); Tokyo University; 153-8505 Komaba 4-6-1, Meguro-ku Tokyo Japan

Funder

New Energy and Industrial Technology Development Organisation

Japan Science and Technology Agency

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Reference31 articles.

1. US Energy Information Administration (EIA) Japan's fossil-fueled generation remains high because of continuing nuclear plant outages Today in Energy http://www.eia.gov/todayinenergy/detail.cfm?id=10391# 2013

2. Meti J On the state of new installations of renewable energy systems 2013

3. Short-term prediction of photovoltaic energy generation by intelligent approach;Chow;Energy Build.,2012

4. Bracale A Caramia P De Martinis U Di Fazio AR An improved Bayesian-based approach for short term photovoltaic power forecasting in smart grids 2012

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