首页|基于智能算法的电力系统负荷预测与优化调度策略分析

基于智能算法的电力系统负荷预测与优化调度策略分析

扫码查看
阐述通过深度学习和强化学习的算法,可以提高电力系统的预测准确率和优化效果.与传统的线性回归和线性规划方法相比,智能算法能显著提升预测准确率和系统稳定性.
Analysis of Load Forecasting and Optimization Scheduling Strategies for Power Systems Based on Intelligent Algorithms
This paper expounds how deep learning and reinforcement learning algorithms can improve the prediction accuracy and optimization effectiveness of power systems.Compared with traditional linear regression and linear programming methods,intelligent algorithms can significantly improve prediction accuracy and system stability.

intelligent algorithmsload forecastingoptimization schedulingdeep learningreinforcement learning

许云辉、朱泉缙

展开 >

国网丽水供电公司,浙江 323050

智能算法 负荷预测 优化调度 深度学习 强化学习

2024

电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
年,卷(期):2024.53(10)