Analysis of Intelligent Technology-Based Methods for Electricity Load Forecasting and Scheduling
In modern society,the stable operation and efficient management of power systems are crucial for ensuring economic development and normal social life.With the increasing energy demand and diversification of energy structures,electricity load forecasting and scheduling face increasingly complex challenges.Traditional static scheduling methods are no longer sufficient to meet the demands for rapid response and efficient energy utilization.Therefore,electricity load forecasting and scheduling systems based on intelligent technology have become a current research hotspot and key focus.This paper analyzes the functional requirements of intelligent technology-based methods for electricity load forecasting and scheduling,proposes the foundational implementation of electricity load forecasting and scheduling functionalities,and outlines the hardware configuration and basic environment setup methods.It aims to provide constructive suggestions for the management of smart grid systems.
万方数据
维普
