基于GA-ANFIS-FCM算法的电力能源预测

Power Energy Prediction Based on GA-ANFIS-FCM Algorithm

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.