Balancing the production and consumption of electricity is an urgent task. Its implementation largely depends on means methods planning production. Forecasting one tools since availability accurate forecast a mechanism for increasing validity management decisions. This study provides overview used to predict supply requirements different objects. The have been reviewed analytically, taking into...

In this paper, the process of forecasting household energy consumption is studied within framework nonparametric Gaussian Process (GP), using multiple short time series data. As we begin to use smart meter data paint a clearer picture residential electricity use, it becomes increasingly apparent that must also construct detailed and understanding consumer’s complex relationship with gas consump...

Accurate electricity consumption forecasting in the power grids ensures efficient generation and distribution of electricity. Keeping this mind, paper introduces a novel deep learning model, termed Gated-FCN, for short-term load forecasting. The key idea is to introduce an automated feature selection model includes eight-layered Fully Convolutional Network (FCN-8) which hand-crafted that requir...