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1
Optimal feed-in tariff for solar photovoltaic power generation in China: A real options analysis
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Optimal feed-in tariff for solar photovoltaic power generation in China: A real options analysis

Zhang, M.M. ; Zhou, D.Q. ; Zhou, P. ; Liu, G.Q.

Energy policy, 2016-10, Vol.97, p.181-192 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants
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A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants

Du, Jian ; Zheng, Jianqin ; Liang, Yongtu ; Liao, Qi ; Wang, Bohong ; Sun, Xu ; Zhang, Haoran ; Azaza, Maher ; Yan, Jinyue

Engineering applications of artificial intelligence, 2023-02, Vol.118, p.105647, Article 105647 [Periódico revisado por pares]

Elsevier Ltd

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3
Life cycle assessment and evaluation of energy payback time on high-concentration photovoltaic power generation system
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Life cycle assessment and evaluation of energy payback time on high-concentration photovoltaic power generation system

Nishimura, A. ; Hayashi, Y. ; Tanaka, K. ; Hirota, M. ; Kato, S. ; Ito, M. ; Araki, K. ; Hu, E.J.

Applied energy, 2010-09, Vol.87 (9), p.2797-2807 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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4
Impact of subsidy policies on diffusion of photovoltaic power generation
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Impact of subsidy policies on diffusion of photovoltaic power generation

Zhang, Yu ; Song, Junghyun ; Hamori, Shigeyuki

Energy policy, 2011-04, Vol.39 (4), p.1958-1964 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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5
Socio-psychological impacts of the introduction of energy technologies: Change in environmental behavior of households with photovoltaic systems
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Socio-psychological impacts of the introduction of energy technologies: Change in environmental behavior of households with photovoltaic systems

Hondo, Hiroki ; Baba, Kenshi

Applied energy, 2010, Vol.87 (1), p.229-235 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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6
Taxonomy research of artificial intelligence for deterministic solar power forecasting
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Taxonomy research of artificial intelligence for deterministic solar power forecasting

Wang, Huaizhi ; Liu, Yangyang ; Zhou, Bin ; Li, Canbing ; Cao, Guangzhong ; Voropai, Nikolai ; Barakhtenko, Evgeny

Energy conversion and management, 2020-06, Vol.214, p.112909, Article 112909 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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7
Optimizing the sizes of wind and photovoltaic power plants integrated into a hydropower station based on power output complementarity
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Optimizing the sizes of wind and photovoltaic power plants integrated into a hydropower station based on power output complementarity

Tang, Yajun ; Fang, Guohua ; Tan, Qiaofeng ; Wen, Xin ; Lei, Xiaohui ; Ding, Ziyu

Energy conversion and management, 2020-02, Vol.206, p.112465, Article 112465 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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8
Topologies for large scale photovoltaic power plants
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Topologies for large scale photovoltaic power plants

Cabrera-Tobar, Ana ; Bullich-Massagué, Eduard ; Aragüés-Peñalba, Mònica ; Gomis-Bellmunt, Oriol

Renewable & sustainable energy reviews, 2016-06, Vol.59, p.309-319 [Periódico revisado por pares]

Elsevier Ltd

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9
Stable power supply of an independent power source for a remote island using a Hybrid Energy Storage System composed of electric and hydrogen energy storage systems
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Stable power supply of an independent power source for a remote island using a Hybrid Energy Storage System composed of electric and hydrogen energy storage systems

Fukaume, S. ; Nagasaki, Y. ; Tsuda, M.

International journal of hydrogen energy, 2022-04, Vol.47 (29), p.13887-13899 [Periódico revisado por pares]

Elsevier Ltd

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10
Prediction short-term photovoltaic power using improved chicken swarm optimizer - Extreme learning machine model
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Prediction short-term photovoltaic power using improved chicken swarm optimizer - Extreme learning machine model

Liu, Zhi-Feng ; Li, Ling-Ling ; Tseng, Ming-Lang ; Lim, Ming K.

Journal of cleaner production, 2020-03, Vol.248, p.119272, Article 119272 [Periódico revisado por pares]

Elsevier Ltd

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