Design of high transmission color filters for solar cells directed by deep Q-learning

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44

초록

In this paper, we have used deep Q-learning networks (DQN) to find a colored coating for solar cells with high transmission. A basic structure with a huge range of possibilities was given to DQN, and it was designed to find the best structures fitting our purpose. The number of possibilities given to the model was more than 12 billion. Our model could find the structures with higher transmission and deeper colors compared to other human researchers in around 32,000 steps. Our numerical results cover a large area of color gamut which can be used for aesthetic purposes.

키워드

Deep Q-learningColored solar cellsNeural networksBuilding integrated photovoltaicsNEURAL-NETWORKSNANOSTRUCTURES
제목
Design of high transmission color filters for solar cells directed by deep Q-learning
저자
Sajedian, ImanLee, HeonRho, Junsuk
DOI
10.1016/j.solener.2019.12.013
발행일
2020-01-01
유형
Article
저널명
Solar Energy
195
페이지
670 ~ 676