Design of Generation Efficiency Fuzzy Prediction Model using Solar Power Element Data
태양광발전요소 데이터를 활용한 발전효율 퍼지 예측 모델 설계

Wang-Cheol Cha, Joung-Ho Park, Uk-Rae Cho, Jae-Chul Kim
2014 The Transactions of The Korean Institute of Electrical Engineers  
Quantity of the solar power generation is heavily influenced by weather. In other words, due to difference in insolation, different quantity may be generated. However, it does not mean all areas with identical insolation produces same quantity because of various environmental aspects. Additionally, geographic factors such as altitude, height of plant may have an impact on the quantity. Hence, through this research, we designed a system to predict efficiency of the solar power generation system
more » ... generation system by applying insolation, weather factor such as duration of sunshine, cloudiness parameter and location. By applying insolation, weather data that are collected from various places, we established a system that fits with our nation. Apart from, we produced a geographic model equation through utilizing generated data installed nationwide. To design a prediction model that integrates two factors, we apply fuzzy algorithm, and validate the performance of system by establishing simulation system.
doi:10.5370/kiee.2014.63.10.1423 fatcat:yyvjdlqrw5bhbgxsxs27xh2cby