这种方法还可以解决任意形状报价曲线给交易算法带来的困难。
This method can be also applied to solve the difficulty in transaction algorithm caused by bidding curve with arbitrary shape.
这种方法还可以解决任意形状报价曲线给交易算法带来的困难。
Therefore, the optimization problem can be changed to normal quadratic programming form which can be solved by quadratic programming method.
它们都是根据发电机组对过载支路灵敏度的数值以及报价曲线等决定各发电机组的调整。
They all judgment made by generation unit to contribution overload spur track, and numerical value sensitivity and quotation graph.
提出了分组竞价的合约市场交易模型和算法，可以同时考虑上升、下降及混合型报价曲线。
The model and algorithm of contract market based on group bidding are presented. Both ascending, descending bidding…
分析不同市场模式下，为了利润最大化，由成本曲线、需求曲线确定报价曲线而产生的行为。
Firstly , the cost model, which is applied to obtain break-even price and constrain condition of FCECBD , is created by Activity Linear Regression method .
文章中将所有参与竞价的发电厂商等值为一个虚拟发电商，用最小二乘法对各时段等值报价曲线参数估计。
With all generation plant virtually regarded as an equivalent one, the method of least squares is used for parameter estimation.
发电厂商竞价上网能否获胜的关键就是如何确定报价曲线，而其竞价上网的博弈解又是获取报价曲线的关键。
How to decide generation units bidding curves is the key to win the bid, while the game solution is the most necessary to get the bidding curves.
当考虑到发电机报价曲线的影响时，发电计划偏差优化问题是一个高维、离散、约束条件复杂的非线性最优化问题。
Considering the generators bidding prices curves, the generation scheduling error optimization problem is high dimensional, disperse, complex constrained, non-liner problem.
利用平均电价差值积分模型将电力市场中发电商的机组报价曲线转换为一维特征向量，从而采用传统聚类方法对机组报价曲线实现分类。
This model can transform units bidding curve of power producer in market into a one-dimensional feature vector, so it can implement classification of units bidding using classical clustering method.
在银行与机构投资者的交易盘市场，公司发行的债券和新兴市场债券(emerging market bonds)的报价是基于相关收益率曲线基准的利差(spreads/interestdifferential)。
Prices of corporate and emerging market bonds are quoted as spreads (interest differential) over relevant yield curve benchmarks in inter bank dealings.
为争取成功地上网发电并取得最大经济效益，电厂需要研究优化的竞价策略，分析上网报价的电量-电价曲线模型。
So the bidding strategy should be studied to gain maximal profits and the power quantity-power price curve model of bidding should be analyzed.
研究运用线性回归及曲线拟合手段推导投标报价模型的方法，并进一步运用模糊预测技术研究获取对手的竞标能力值。
Discuss the means of deducing bidding models by linear regression and curve fit method, and further more, acquire rivals' bidding competitive ratio with fuzzy forecasting technique.
研究运用线性回归及曲线拟合手段推导投标报价模型的方法，并进一步运用模糊预测技术研究获取对手的竞标能力值。
Discuss the means of deducing bidding models by linear regression and curve fit method, and further more, acquire rivals' bidding competitive ratio with fuzzy forecasting technique.
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