Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …

Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …

The increasing world population and availability of energy hungry smart devices are major
reasons for alarmingly high electricity consumption in the current times. So far, various …

Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …

Energy forecasting and planning play an important role in energy sector development and
policy formulation. The forecasting model selection mostly based on the availability of the …

Energy demand forecasting is an important issue for governments, energy sector investors
and other related corporations. Although there are several forecasting techniques, selection …

Reliable forecast of electricity can encourage accessible and responsible information for
scholars, policymakers, end-consumers and managers of the electricity market. Numerous …

The main purpose of this paper is to develop an efficient multi-stage methodology to predict
carbon dioxide emissions based on two important variables including the energy …

In this work, the annual gross electricity demand of Turkey was modeled by multiple linear
regression and artificial neural networks as a function population, gross domestic product …

Industrial and building sectors demand efficient smart energy strategies, techniques of
optimization, and efficient management for reducing global energy consumption due to the …