基于智能优化算法的电力负荷预测模型分析

Jianli Jiao
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引用次数: 1

摘要

近年来,电力供需与经济增长之间的复杂关系引起了政府、企业和大量科研人员对电力供需预测的内在关系的关注。电力负荷预测已成为一项管理任务,与电力科学、计算机科学等领域相结合。研究热点。本文构建了基于智能优化算法的数学模型和应用原型系统,预测了我国短期和中长期的电力负荷趋势,分析了电力行业的供需形势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Power Load Forecasting Model Based on Intelligent Optimization Algorithm
In recent years, the complex relationship between power supply and demand and economic growth has caused governments, enterprises and a large number of scientific researchers to pay attention to the internal relationship of power supply and demand forecasting. Power load forecasting has become a management task, science and power science, computer science and other fields. Research hotspots. This paper constructs a mathematical model and application prototype system based on intelligent optimization algorithms, predicts short-term and mid-to-long-term power load trends in my country, and analyzes the supply and demand situation of the power industry.
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