基于智能算法的电力系统负荷预测与优化调度策略分析
Analysis of Load Forecasting and Optimization Scheduling Strategies for Power Systems Based on Intelligent Algorithms
许云辉 1朱泉缙1
作者信息
摘要
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.
Abstract
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.
关键词
智能算法/负荷预测/优化调度/深度学习/强化学习Key words
intelligent algorithms/load forecasting/optimization scheduling/deep learning/reinforcement learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据