Abstract
This paper describes a static load model based on functional approximation. The functional approximation has been achieved by selecting Gaussian pulses as basis function. Based on this a single layer neural network has been constructed, which can easily trained using δ-rule. A case study has also been reported. The load model as obtained using the proposed neural network has been compared with ZIP load model as obtained by least square estimator.
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Schedule a callMore From: Journal of The Institution of Engineers (India): Series B
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