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1)  Eystem marginal price
系统边际电价(SMP)
2)  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。
3)  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。
4)  System Marginal Price Forecasting
系统边际电价预测
5)  SMP system
SMP系统
6)  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。
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)
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