@article{Shilaja C_2020, title={Estimation of India’s energy demand using Artificial Immune System }, volume={29}, url={http://sersc.org/journals/index.php/IJAST/article/view/22573}, abstractNote={<p><em>This study presents an integrated estimation of energy demand for India using Artificial Immune System (AIS) based on economic indicators such that population, per capita Gross Domestic Product (GDP), per capita Gross Domestic Income (GDI) used during the model development. The Artificial Immune System -Energy Demand (AIS-ED) model is developed based on past data. Two forms of the AIS-ED models are developed and also different scenarios (high, low growth and trend line) are used to predict future energy demand of India. Mean Absolute Percentage Error (MAPE) is evaluating the results and selecting the best forecasting model of the AIS. Clonal selection algorithm (CLONALG) of AIS techniques is used as an evaluation criterion. The AIS-ED results are compared with the prediction of 18th Electricity Power Survey of India. </em></p&gt;}, number={12s}, journal={International Journal of Advanced Science and Technology}, author={Shilaja C}, year={2020}, month={May}, pages={1072 - 1079} }