1.Machine learning techniques for short-term solar power stations operational mode planning

作　　者：Stanislav Eroshenko ;Alexandra Khalyasmaa ;Denis Snegirev

出　　处：E3S Web of Conferences. 2018 ;51:2004-2008.doi:10.1051/e3scconf/20185102004

出版社：EDP Sciences

文章 ID：256304390

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2.Weather data errors analysis in solar power stations generation forecasting

作　　者：Stanislav Eroshenko ;Alexandra Khalyasmaa

出　　处：E3S Web of Conferences. 2018 ;51:2002-2007.doi:10.1051/e3scconf/20185102002

出版社：EDP Sciences

文章 ID：256304393

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3.Very-short term solar power generation forecasting based on trend-additive and seasonal-multiplicative smoothing methodology

作　　者：Stanislav Eroshenko ;Alexandra Khalyasmaa ;Rustam Valiev

出　　处：E3S Web of Conferences. 2018 ;51:2003-2008.doi:10.1051/e3scconf/20185102003

出版社：EDP Sciences

文章 ID：256304398

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4.Development of a simulation model of HPPs chain operation

作　　者：Alexandra Khalyasmaa ;Stanislav Eroshenko ;Sergey Mitrofanov 等

出　　处：E3S Web of Conferences. 2020 ;191:1-6.doi:10.1051/e3sconf/202019102004

出版社：EDP Sciences

文章 ID：254951633

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5.Integrating GIS technologies in hydro power plant cascade simulation model

作　　者：Alexandra Khalyasmaa ;Stanislav Eroshenko ;Anna Arestova 等

出　　处：E3S Web of Conferences. 2020 ;191:1-6.doi:10.1051/e3sconf/202019102006

出版社：EDP Sciences

文章 ID：254951634

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6.Weather data errors analysis in solar power stations generation forecasting

作　　者：Stanislav Eroshenko ;Alexandra Khalyasmaa

出　　处：E3S Web of Conferences. 2018 ;51:1-6.doi:10.1051/e3sconf/20185102002

出版社：EDP Sciences

文章 ID：218153574

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7.Very-short term solar power generation forecasting based on trend-additive and seasonal-multiplicative smoothing methodology

作　　者：Stanislav Eroshenko ;Alexandra Khalyasmaa ;Rustam Valiev

出　　处：E3S Web of Conferences. 2018 ;51:1-6.doi:10.1051/e3sconf/20185102003

出版社：EDP Sciences

文章 ID：218153575

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8.Machine learning techniques for short-term solar power stations operational mode planning

作　　者：Stanislav Eroshenko ;Alexandra Khalyasmaa ;Denis Snegirev

出　　处：E3S Web of Conferences. 2018 ;51:1-5.doi:10.1051/e3sconf/20185102004

出版社：EDP Sciences

文章 ID：218153576

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9.Inappropriate machine learning application in real power industry cases

作　　者：Alexandra Khalyasmaa ;Pavel Matrenin ;Stanislav Eroshenko

出　　处：International Journal of Electrical and Computer Engineering. 2022 ;12(3):3023-3032.doi:10.11591/ijece.v12i3.pp3023-3032

出版社：Institute of Advanced Engineering and Science (IAES)

文章 ID：1038386379

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	Sergey Mitrofanov	2篇
	Alena Sidorova	1篇
	Alexey Kolesnikov	1篇
	Anastasia Rusina	1篇
	Anastasiya Rusina	1篇
	Pavel Matrenin	1篇

	环境科学基础理论	8篇
	计算机的应用	1篇

	法国	8篇
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	Alexandra Khalyasmaa	9篇
	Stanislav Eroshenko	9篇
	Anna Arestova	2篇
	Denis Snegirev	2篇
	Rustam Valiev	2篇

	E3S Web of Conferences	8篇
	International Journal of Electrical and Computer Engineering	1篇