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This paper presents the development of a dynamic optimization model to manage the generated energy in a micro-grid. The micro-grid consists of the following components: a wind energy system, an energy storage element, a load, and the interconnection to the utility grid. The optimization scheme considers the minimization of the associated cost due to the purchase of energy from the utility grid and...
In this paper, a Higher Order Wavelet Neural Network (HOWNN) trained with an Extended Kalman Filter (EKF) is implemented to solve the wind forecasting problem. The Neural Network based scheme is composed of high order terms in the input layer, two hidden layers, one incorporating radial wavelets as activation functions and the other using classical logistic sigmoid, and an output layer with a linear...
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