LP BASED PSO ALGORITHM: A STRATEGIC PLANNING FOR REDUCING CO2 EMISSIONS WITH FORECASTED ENERGY DEMAND

India's Primary energy consumption (PEC) is very high. This is a attempt to model the PEC as a linear function of five socioeconomic and meteorological explanatory variables using particle swarm optimization (PSO) with Gaussian Mutation (GM) techniques. PSO-GM technique is simple and provided us with a closed form expression to forecast PEC. Energy demand was forecasted by PSO-GM approach using represented scenario. Finally, adapting about 10% renewable energy revealed that based on the developed linear programming (LP) model under minimum CO2 emissions, Our approach emits about 2520 million metric tons CO2 emission in 2025. The LP model indicated that maximum possible development of hydropower, geothermal and wind energy resources will satisfy the aim of minimization of CO2 emissions. Therefore, the main strategic policy in order to reduce CO2 emissions would be exploitation of these resources.