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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...
Wind farms begin to influence the power systems with the increasing amount of wind power penetration. The study of such influence justifies the need of a dynamic wind farm model comprising of a large number of generators, but detail models require high simulation computation time. An aggregation technique is required to reduce the model order while maintaining its accuracy. In this paper, a complete...
With the increasing wind power penetration, the wind farms are directly influencing the power systems. Therefore, analysis of wind power dynamics has become a very important issue, which justifies the need of a detailed dynamic model of wind power generation system. This paper approaches towards the study on the effect of wind speed variations and machine inertia constants on transient during initialization,...
The efficiency of even the state of the art existing solar panels is low compared to other energy conversion methods. Solar panels are expensive, and consequently it is important to maximize the energy harnessed through the panels used in solar home systems and other applications. One source of inefficiency - incorrect orientation or positioning of the panels; can be removed by adjusting the positioning...
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