摘要
电力公司为居民和企业提供不间断的电力供应是其主要责任。预测电力能源需求总是保证电力供应的最佳方案。将遗传算法(GA)、聚类算法(FCM)和自适应神经模糊推理系统(ANFIS)相结合,构造了GA–ANFIS–FCM混合算法,并将算法用于电力能源预测。通过与独立的ANFIS–FCM模型比较,验证了GA–ANFIS–FCM3为最佳子模型。
Electric power companies are primarily responsible for providing uninterrupted power supply to residents and businesses.Predicting electricity energy demand is always the best solution to ensure electricity supply.A GA-ANFIS-FCM hybrid algorithm is constructed by combining genetic algorithm(GA),clustering algorithm(FCM),and adaptive neural fuzzy inference system(ANFIS),and the algorithm is applied to power energy prediction.By comparing with the independent ANFIS-FCM model,it is verified that GA ANFIS FCM3 is the optimal submodel.
作者
陈亮
朱元凯
李长英
谢清强
CHEN Liang;ZHU Yuan-kai;LI Chang-ying;XIE Qing-qiang(Taishan Vocational and Technical College,Taian 271000,Shandong)
出处
《电脑与电信》
2023年第9期83-86,共4页
Computer & Telecommunication