2) market clearing price
边际电价
1.
A novel evolutionary neural network ensemble model based on particle swarm optimization(PSO) is proposed to forecast market clearing price(MCP) in day-ahead electricity market.
为了克服神经网络模型结构和参数难以设置,学习算法收敛速度慢等缺点,提出了一种基于粒子群优化的演化神经网络集成新模型对日前交易电力市场的边际电价进行预测。
2.
In day-ahead electricity market,market clearing price(MCP)has a great effect on economic benefit of market participants including independent power producer,transmission and distribution service provider,retailer,and customer.
在电力市场日前交易中,边际电价对独立发电商、输配电服务提供者、电力零售商和电力客户等市场成员的经济利益影响重大。
3.
A novel neural network ensemble(NNE)model based on wavelet transformation and swarm intelligence evolution is proposed to forecast market clearing price(MCP)in day-ahead electricity market.
提出了一种基于小波变换和群智能演化的神经网络集成预测新模型,对日前交易边际电价进行预测。
3) system marginal price
边际电价
1.
ν-support vector machine is employed to achieve system marginal price prediction and confidence interval estimation simultaneously by constructing and solving a convex optimization problem.
引入ν-支持向量机,通过构造和求解一个凸优化问题,同时实现了对边际电价的预测和对置信区间的估计,且无需假定预测偏差的概率分布。
4) Marginal price
边际电价
1.
Fixed cost allocation based on system marginal price;
基于系统边际电价的输电网络固定费用分时分摊研究
2.
With the probability theory and probabilistic production simulation technologies, a probabilistic method for estimating marginal price in electricity markets with elastic demand is developed based on the concept of marginal genera.
基于系统边际发电单元的概念,应用有关概率理论和随机生产模拟技术,提出了一种计入需求价格弹性因素的边际电价概率学预测方法。
3.
This paper is about the strategies based on the marginal price prediction for independent power plants to connect to the national network by price competition in the context of electricity market.
论文研究了电力市场环境下基于边际电价预测的独立发电厂竞价上网策略问题。
5) marginal electricity price
边际电价
1.
Application of chaotic theory and fast BP ANN to forecast of marginal electricity price;
混沌理论和快速BP神经网络在边际电价预测中的应用
补充资料：日前
1.往日;以前。 2.犹目前。 3.几天前。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条