Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam

This paper uses recurrent neural network (Long Short – Term Memory - LSTM network) to build a model to forecast short-term generation capacity of Phong Dien solar power plant, (48 MWp – 35 MWAC) located in Thua Thien Hue Province, Viet Nam, with input fac...

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Autores principales:	Ninh Quang, Linh Duy, Binh Van, Quang Dinh
Formato:	article
Lenguaje:	EN
Publicado:	European Alliance for Innovation (EAI) 2021
Materias:	long short – term memory industrial pv power plant forecasting pv power artificial intelligence Science Q Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/3963d626198b4d15bd6631ce71ceb1a4
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id	oai:doaj.org-article:3963d626198b4d15bd6631ce71ceb1a4
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spelling	oai:doaj.org-article:3963d626198b4d15bd6631ce71ceb1a42021-11-30T11:07:23ZApplying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam2032-944X10.4108/eai.29-3-2021.169166https://doaj.org/article/3963d626198b4d15bd6631ce71ceb1a42021-11-01T00:00:00Zhttps://eudl.eu/pdf/10.4108/eai.29-3-2021.169166https://doaj.org/toc/2032-944XThis paper uses recurrent neural network (Long Short – Term Memory - LSTM network) to build a model to forecast short-term generation capacity of Phong Dien solar power plant, (48 MWp – 35 MWAC) located in Thua Thien Hue Province, Viet Nam, with input factors including meteorological parameters. The authors conducted experiments to find the optimal structure of the model corresponding to the conditions of the plant and the data collection. Through this model, meteorological forecast data sets from commercial suppliers were used to forecast the plant's output power. The comments about the result as well as the further study direction are analysed and suggested.Ninh QuangLinh DuyBinh VanQuang DinhEuropean Alliance for Innovation (EAI)articlelong short – term memoryindustrial pv power plantforecasting pv powerartificial intelligenceScienceQMathematicsQA1-939Electronic computers. Computer scienceQA75.5-76.95ENEAI Endorsed Transactions on Energy Web, Vol 8, Iss 36 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	long short – term memory industrial pv power plant forecasting pv power artificial intelligence Science Q Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
spellingShingle	long short – term memory industrial pv power plant forecasting pv power artificial intelligence Science Q Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95 Ninh Quang Linh Duy Binh Van Quang Dinh Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam
description	This paper uses recurrent neural network (Long Short – Term Memory - LSTM network) to build a model to forecast short-term generation capacity of Phong Dien solar power plant, (48 MWp – 35 MWAC) located in Thua Thien Hue Province, Viet Nam, with input factors including meteorological parameters. The authors conducted experiments to find the optimal structure of the model corresponding to the conditions of the plant and the data collection. Through this model, meteorological forecast data sets from commercial suppliers were used to forecast the plant's output power. The comments about the result as well as the further study direction are analysed and suggested.
format	article
author	Ninh Quang Linh Duy Binh Van Quang Dinh
author_facet	Ninh Quang Linh Duy Binh Van Quang Dinh
author_sort	Ninh Quang
title	Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam
title_short	Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam
title_full	Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam
title_fullStr	Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam
title_full_unstemmed	Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam
title_sort	applying artificial intelligence in forecasting the output of industrial solar power plant in vietnam
publisher	European Alliance for Innovation (EAI)
publishDate	2021
url	https://doaj.org/article/3963d626198b4d15bd6631ce71ceb1a4
work_keys_str_mv	AT ninhquang applyingartificialintelligenceinforecastingtheoutputofindustrialsolarpowerplantinvietnam AT linhduy applyingartificialintelligenceinforecastingtheoutputofindustrialsolarpowerplantinvietnam AT binhvan applyingartificialintelligenceinforecastingtheoutputofindustrialsolarpowerplantinvietnam AT quangdinh applyingartificialintelligenceinforecastingtheoutputofindustrialsolarpowerplantinvietnam
_version_	1718406675150405632

Applying Artificial Intelligence in Forecasting the Output of Industrial Solar Power Plant in Vietnam

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