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)
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)
BACKGROUND AND PURPOSE Although cystolitholapaxy is possible in children, the instruments are not available everywhere. For tiny impacted urethral stone, an alternate technique is described. CASE REPORT A 3-year-old boy came with retention of urine and dysuria. On examination: bladder was full, suprapubic region was tender, and a stone could be felt at(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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