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In the electricity market, the price as the lever results in the dramatic variations, especially, the capacity or willingness of electricity consumers and then demand may be low, particularly over short time frames. Therefore demand-side management (DSM) has been put into practice, and the market supervisors become more and more focused on the price dynamics of the short-term, because of its effects...
Since the electricity market came into being, price volatility is along a difficult and unavoidable problem that makes the market participants face with great risks. But due to the short development of the deregulation, price and its relative data are insufficient, and then price researches have become a typical small-sampled problem. No doubt, such data condition have restricted the application and...
Credit assessment is crucial for the marketing of power distribution enterprises in the electricity market. But credit assessment on the power clients belongs to typical multi-classification and is still unsolved, due to the small-sampled problem in the market. So this work aims at proposing a novel credit assessment model of the electric power consumers based on least squares support vector machines...
In the electricity market, various market risks have been the main problems that the market participants have to face with and handle, including operational risk, credit analysis, price risk and so on. Among these risks, price risk is one of the basic problems according to the centralization location of electricity prices and their great influence on the benefits of the market participants. To solve...
Sensitivity analysis on electricity price is one of focused and unsolved problems in the researches of electricity market. A challenge is that there is no definite mathematical equation of price due to the special complexity of electricity market. So a novel model based on fuzzy neural network (FNN) is presented for the sensitivity analysis of financial time series, for example, electricity price...
Sensitivity analysis is an effective tool to mine the dynamic characteristics of the explanatory variables on the result variable. But due to the complexity of the influence factors, the sensitivity analysis on electricity price is along one of focused and unsolved problems in the researches of electricity market. To solve this problem, a novel model is proposed to analyze the sensitivity of electricity...
There is a general consensus that the movement of electricity price is crucial for electricity market. As a practical tool to estimate the future prices, electricity price forecaster is of great importance and use for the operations of market participants. This paper presents a hybrid forecast model that integrates clustering algorithm with least square support vector machine (LS-SVM). First, clustering...
In the electricity market, the sensitivity analysis on long-term power demand is not only useful for the dynamic studies on the loads, but also of significance for the market management and planning. However, traditional methods that find the coefficients by computing the derivatives of the known mathematical equation, cannot deal with such problem, being devoid of definite mathematics or simulation...
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