云计算和机器学习算法下的微电网负荷预测效果分析

Analysis ofmicrogrid load forecasting based on cloud computing and machine learning algorithm

在能源问题及环境问题越来越严峻的背景下,综合开发并且合理使用新能源备受重视,微电网的创建能够充分消纳为能源,还能够实现能源结构的优化。精准实现微电网负荷预测能够有效实现微电网优化运行,并且还能够实现能源管理决策,是微电网能够高效率的运行。基于此,本文针对微电网负荷预测问题进行研究,分析基于云计算及机器学习算法的微电网负荷预测效果。

under the background of more and more serious energy and environmental problems,the comprehensive development and rational use of new energy has been attached great importance,the creation of micro-grid can fully absorb energy,but also can achieve the optimization of energy structure. Accurate load forecasting of micro-grid can effectively realize the optimal operation of micro-grid,and can also achieve energy management decisions. It is a high-efficiency operation of micro-grid. Based on this,this paper studies the load forecasting of micro-grid,and analyzes the load forecasting effect of micro-grid based on cloud computing and machine learning algorithm.