1) system marginal price
系统边际电价
1.
In order to exactly forecast the day-ahead system marginal price of electricity market,a novel system marginal price forecast model based on similarity search and least square support vector machine is put forward.
系统边际电价是电力工业改革的关键因素之一,是电力市场的杠杆和核心内容。
2.
Analyzing the characteristics of SMP( system marginal price),the electrical load and the historically corresponding and current SMP trends are regarded as the three main influencing factors on forecasting the oncoming SMP value.
在分析系统边际电价(SMP)特点的基础上,确定了预测系统边际价格的主要依据为电力负荷、历史上对应时刻的SMP以及当天的SMP趋势。
3.
The paper studied aided price-bidding of power plant based on real-time generatingcost and system marginal price (SMP) prediction under the deregulated power system.
本文研究了火电厂在电力市场环境下基于实时发电成本分析与系统边际电价预测相结合的辅助报价问题。
2) system marginal price(SMP)
系统边际电价
1.
A method based on fuzzy least square support vector machine(FLS-SVM) is proposed for system marginal price(SMP) forecast.
提出了基于模糊最小二乘支持向量机的系统边际电价(system marginal price,SMP)预测方法。
2.
It can obtain the optimal solution of System Marginal Price(SMP).
按照Bellman最优化基本原理,使用Agent逐步与环境的交互作用来寻求预测电价和实际电价的误差最小值,得到系统边际电价的最优解。
3) Eystem marginal price
系统边际电价(SMP)
5) system marginal price
系统边际价格
1.
A kind of smoothing factor,which optimizes general regression neural network (GRNN) by improved particle swarm optimization (PSO),is put forward and a method to forecast system marginal price by GRNN with optimized parameters is proposed.
提出了一种利用改进粒子群算法优化广义神经网络的平滑因子,并采用优化后的网络预测系统边际价格的方法,该方法克服了利用梯度下降法优化平滑因子时易陷入局部极值点以及利用遗传算法优化平滑因子时收敛速度慢等缺点。
2.
The characteristics of system marginal price SMP are discussed according to economic theory.
在分析了系统边际价格 ( SMP)形成机理和影响因素的基础上 ,分别提出了基于累计式自回归滑动平均模型 ( ARIMA)和人工神经网络 ( ANN)的 SMP预测方法 ,在这 2种方法中都引入了市场供求指数 ( SDI)作为影响 SMP的因素。
6) 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。
补充资料：丰枯电价(见季节电价)
丰枯电价(见季节电价)
seasonal power price
丰枯电价(seasonal power priee)在水电为主的电力系统中，对于专门利用丰水季电能的用户或在丰水季增加用电量的用户实行的优惠电价(见季节电价)‘(张工)
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