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A hybrid mid-term electricity MCP forecasting model combining both support vector machine (SVM) and autoregressive moving average with external input (ARMAX) modules is presented in this paper. Currently, there are many techniques available for short-term electricity market clearing price (MCP) forecasting, but very little has been done in the area of mid-term electricity MCP forecasting. Mid-term...
The generating companies as well as the bulk sellers in a deregulated environment want to maximize their profits. For these entities, offering the appropriate amount of electricity at the right time with the right bidding price is of paramount importance. A comparison between support vector machine (SVM) and least squares support vector machine (LSSVM) in mid-term electricity MCP forecasting is presented...
Presented paper deals with problems related to automatic recognition of expressive speech states. The analysis was performed using the Slovene part of the emotional speech corpus recorded under the international project Interface. The main focuses of presented emotional multi-level based feature extraction method are not the emotions itself but rather three expressive states: positive, negative and...
In a restructured power market, the forecasting of price of electricity has drawn attention of researchers for an accurate forecasting of the electricity price. Electricity price forecast provides important information to the electricity market managers and participants. However, electricity price is a complex signal due to its non-linear, non-stationary, and time variant behavior. In spite of performed...
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