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
贺嘉坤1
作者信息
- 1. 广西柳州发电有限责任公司,广西 545000
- 折叠
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.
Abstract
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Key words
machine learning/hydroelectric systems/efficiency prediction引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据