In this study, the residential heating demand of a case study (Baharestan town, Karaj) in Iran
was forecasted based on the monthly natural gas consumption data and monthly average of …

The increase of energy consumption and their direct effects on pollution and global warming
have motivated governments to develop new strategies to promote a better usage of energy …

Energy consumption has increased in recent decades at a rate ranging from 1.5% to 10%
per year in the developed world. As a consequence, several efforts have been made to …

This work addresses the problem of energy consumption time series forecasting. In our
approach, a set of time series containing energy consumption data is used to train a single …

Abstract Development of solutions to optimisation problems (including electrical power
systems) has remained an active research area in the recent decades, with interests in the …

Genetic Algorithm is established on the process of natural biological evolution that is used to
simulate and mimic natural in looking for optimal solution of certain problem. Genetic …

Abstract The publication of Grammatical Evolution (GE) led to the development of numerous
variants of this Grammar-Based approach to Genetic Programming (GP). In order for these …

This work addresses the problem of energy consumption time series forecasting. In our
approach, a set of time series containing energy consumption data is used to train a single …

Abstract In this paper Genetic Algorithm have been used to optimize the parameter of the 4
th degree polynomial; which was selected as a best curve fit for the load of electricity of Iraq …

Governments, global organizations, corporations and scientists publish every year 10-15
authoritative reports on energy scenarios and forecasts. Analysis of world consumption …