Ashraf Ul Haque

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This paper presents a novel hybrid intelligent algorithm based on the wavelet transform (WT) and fuzzy ARTMAP (FA) network for forecasting the power output of a wind farm utilizing meteorological information such as wind speed, wind direction, and temperature. The prediction capability of the proposed hybrid WT+FA model is demonstrated by an extensive(More)
This paper presents a novel hybrid intelligent algorithm based on the wavelet transform (WT) and fuzzy ARTMAP (FA) network for forecasting the power output of a wind farm utilizing meteorological information such as wind speed, wind direction, and temperature. The prediction capability of the proposed hybrid WT +FA model is demonstrated by an extensive(More)
In this paper, we report the design, fabrication and characterization of an in-silico cell physiology biochip for measuring Ca 2+ ion concentrations and currents around single cells. This device has been designed around specific science objectives of measuring real time multidimensional calcium flux patterns around sixteen Ceratopteris richardii fern spores(More)
Predicting wind power is considered as one of the most important tasks for the large-scale integration of intermittent wind-powered generators into power systems. Given the cubic relationship between wind speed and wind power, accurate forecasting of wind speed is important for the estimation of future wind power generation output. This paper presents a(More)
Early development of the germinating Ceratopteris fern spore involves the establishment of cellular polarity based on gravity sensing in the single cell system (Edwards and Roux; 1994). This process of cell polarization culminates in directional nuclear migration which determines the plane of the first cell division. The product of this first mitotic(More)
This paper presents a new hybrid intelligent technique for very short-term wind power forecasting (VSWPF) based on the combination of wavelet transform (WT), similar day (SD) method, and emotional neural networks (ENN), i.e., WT+SD+ENN. The forecasting procedure using the proposed hybrid WT+SD+ENN intelligent model involves the refinement of the forecasted(More)
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