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Journal of Modern Power Systems and Clean Energy
This paper compares three methods of load forecasting for the optimum management of community battery storages. These are distributed within the low voltage (LV) distribution network for voltage management, energy arbitrage or peak load reduction. The methods compared include: a neural network (NN) based prediction scheme that utilizes the load history and the current metrological conditions; a wavelet neural network (WNN) model which aims to separate the low and high frequency components ofdoi:10.1007/s40565-018-0392-6 fatcat:mbbx46yr2be7nagyya3e42bl7y