摘要
短期负荷预测是一种电力系统优化调度工具。其不仅可为电网调度及发、供电计划提供有效的指导,而且可以保障电力系统安全和高效的运行,达到节约经济的目的。本文在分析影响船舶电网短期负荷的因素基础上,提出基于量子神经网络技术的船舶电网短期负荷预测法。
Short term load forecasting is a power system optimization scheduling tool.It can not only provide effective guidance for power grid dispatching and power generation plan,but also ensure the safe and efficient operation of power system,achieving the purpose of saving the economy.Based on the analysis of the factors that affect the short-term load of the ship power grid,a short-term load forecasting method based on the quantum neural network is proposed.
出处
《舰船科学技术》
北大核心
2017年第18期103-105,共3页
Ship Science and Technology
关键词
电力系统
短期负荷预测
量子神经网络
遗传算法
Power system
Short-term Load forecasting
Quantum neural network
Genetic algorithm