Photovoltaic power stations in Germany and the United States: A comparative study by data envelopment analysis
By Toshiyuki Sueyoshi, Mika Goto. 2014
121 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Pollution, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b79ef995edbfe90ed0c557ae8fb6def86fe93cee
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Pollution
- Nazmiye Balta-Ozkan
- Julide Yildirim
- Benjamin Sovacool
- Jingzheng Ren
- P. Connor
- Vlado Vivoda
- Stefan Bouzarovski
- Christian Breyer
In Renewable Energy, Sustainability and the Environment
- Nazmiye Balta-Ozkan
- Julide Yildirim
- Benjamin Sovacool
- Jingzheng Ren
- P. Connor
- Vlado Vivoda
- R. Fouquet
- Karoline S. Rogge
Citations in the corpus
- Market dynamics, innovation, and transition in China's solar photovoltaic (PV) industry: A critical review (2017, background): “Many previous studies have identified obstacles in a piecemeal fashion without comprehensively examining the topic [20-23].”
- Regional distribution of photovoltaic deployment in the UK and its determinants: A spatial econometric approach (2015, background): “There is a growing literature focusing on large-scale, commercial PV applications, including comparison of their performance (Sueyoshi and Goto, 2014); analysis of their market value (Hirth, 2013); optimal size and timing of investments (Massetti and Ricci, 2013) and effect of policy framework on in”