An improved version of Search and Rescue algorithm for electrical power energy production and the demand of China

Abstract

A new technique is suggested in this paper for optimal electrical power energy production and demand forecasting in China. The paper provides a new improved design of the Search and Rescue algorithm for better optimization of the forecasting models. This study is performed based on three scenarios on the electrical power energy production and demand in the period 2020–2050. The study utilizes linear and quadratic models for electricity energy production and demand prediction of the analyzed scenarios. The improved Search and Rescue algorithm in the study is designed based on import and export, gross domestic product (GDP), and population. All of the models based on the scenarios are applied for optimal prediction of electrical power energy generation and demand. The results show that the proposed optimal quadratic models based on the Improved Search and Rescue algorithm provides the fittest results with economic indicators.