基于机器学习的水电能源发电效率预测与优化分析  

Analysis of Prediction and Optimization of Hydroelectric Energy Generation Efficiency Based on Machine Learning

作　　者：贺嘉坤 HE Jiakun(Guangxi Liuzhou Power Generation Co.,Ltd.,Guangxi 545000,China)

机构地区：[1]广西柳州发电有限责任公司,广西545000

出　　处：《集成电路应用》2024年第1期320-321,共2页Application of IC

摘　　要：阐述机器学习算法在水电新能源发电效率预测与优化中的应用,包括监督学习、非监督学习和强化学习,基于数据对水电新能源发电效率进行预测和优化,验证机器学习算法的有效性和实用性。This paper describes the application of machine learning algorithms in the prediction and optimization of hydroelectric new energy generation efficiency,including supervised learning,unsupervised learning,and reinforcement learning.Based on data,the efficiency of hydroelectric new energy generation is predicted and optimized,and the effectiveness and practicality of machine learning algorithms are verified.

关 键 词：机器学习 水电系统 效率预测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TV737[自动化与计算机技术—控制科学与工程]