… DNN energy estimation, we made the energy estimation tool … focuses on deep convolutional
neural networks (DCNNs), the … overall computation and energy consumption, the proposed …

… discusses the two NN energy consumption models based on two different algorithms, and
finally, Section 6 concludes on energy consumption prediction using neural network models. …

… This study compares the accuracy in predicting electricity energy consumption in Hong Kong
among three different approaches: regression analysis, decision trees, and neural networks…

… This amount of energy is luxury for countries like Turkey that import most of the energy
they consume. Studies about minimizing energy consumption and using renewable energy …

… energy consumption might be highly under or over estimated. In this paper, a comparison is
made between a simple model based on artificial neural network (… energy consumption. The …

… accuracy, ensemble of neural networks is examined. Three … proposed neural networks can
predict heating consumption … neural networks for prediction of heating energy consumption…

… neural network for predicting building energy consumption. The genetic algorithm is adopted
to search the optimal weighting factors for Elman neural network. … Elman neural network …

… neural networks have been adopted in this study for modelling the energy consumption of the
… The power of neural networks in modelling complex mappings and in system identification …

… to obtain an estimated profile of future world energy consumption. In this study the HCs’
energy consumptions are modeled using artificial neural networks (ANNs). The models are …

… to build a neural network model to predict the electric energy … and population on electric
energy consumption. In a previous … under consideration and the energy consumption is not clear, …