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The aim of this study was to establish an activated sludge model and to verify its predictability for use in a pilot-scale anoxic/anaerobic/aerobic/post-anoxic (modified AAO) process. Respirometric measurements were conducted to identify the influent organic characteristics and to determine the yield coefficient (YH) and decay coefficient (bH) for heterotrophic biomass (OHOs). The values obtained...
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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