This document contains the presentation by Gokul Iyer, on effect of climate change on energy demand: case study of IIT- Bombay, presented at National climate research conference, IIT Delhi, March 5-6, 2010. This paper aims at exploring the relationship between climate change and energy demand. The modeling techniques employed in literature are essentially econometric in nature. Different modeling methodologies are first reviewed and classified based on the nature of the independent variable used for regression. In the primitive variable method, climate variables are used as they are for the modeling, without any modification. In the degree day approach, however, degree days (heating degree days, cooling degree days, enthalpy latent days, etc.) are constructed from the basic climate variables and used for modeling. These new variables when used for regression with the electricity demand are reported to give better correlation and improved predictability. A case study of the residential area of IIT-B is presented; using historical data of 28 years from 1978 to 2005.