Robust Site Selection of Solar/Wind Farms Using Neural Networks and Analytic Hierarchy Process

摘要

The potential for solar and wind is not the same everywhere on earth. Therefore, finding a proper site for these energy farms has a crucial effect on their performance. Although one of the most used site selection approaches in recent decades is Multi-criteria decision-making (MCDM), This method undergoes local scoring and un-robustness. Using MCDM methods individually may be led to improper site location. In this paper, a hybrid procedure has been utilized to remove the above-mentioned demerits. Here, the analytic hierarchy process (AHP) used for the weighing process and the artificial neural network (ANN) is used to acquire robust scoring.