Liang, R.-H.R.-H.LiangYUAN-YIH HSU2020-06-112020-06-11199403787796https://scholars.lib.ntu.edu.tw/handle/123456789/500765https://www.scopus.com/inward/record.uri?eid=2-s2.0-0028442545&doi=10.1016%2f0378-7796%2894%2990053-1&partnerID=40&md5=a6caac3e0e0c60a8c32dc00002e692e9An approach based on self-organizing feature maps is proposed for the scheduling of hydroelectric generations. The purpose of hydroelectric generation scheduling is to figure out the optimal amount of generated powers for the hydro units in the system for the next N (N = 24 in this work) hours in the future. In the proposed approach, self-organizing feature maps are developed in order to reach preliminary generation schedules. Since some practical constraints may be violated in the preliminary schedule, a heuristic rule based search algorithm is developed to reach a feasible suboptimal schedule which satisfies all practical constraints. The effectiveness of the proposed approach is demonstrated by short-term hydro scheduling of Taiwan power system which consists of ten hydro plants. It is concluded from the results that the proposed approach is very effective in reaching proper hydro generation schedules. © 1994.Hydroelectric generation scheduling; Load data classification; Neural networksAlgorithms; Electric power generation; Heuristic methods; Neural networks; Scheduling; Generated powers; Heuristic rule based search algorithm; Load data classification; Self organizing feature maps; Suboptimal schedule; Hydroelectric power plantsjournal article10.1016/0378-7796(94)90053-12-s2.0-0028442545