Mr. Afsal Najeeb will present his APS as per the detail below:

Date: 17th February 2023

Time: 0830 – 0930 hrs.

Venue: VC Room 1, IITB Monash Building

Meeting Link:

https://monash.zoom.us/j/82011560940?pwd=MjFGbWVqcnlieFFWMUkxYmlxc2ZvUT09

Meeting ID: 820 1156 0940 Passcode: 478415

Title: Analyzing the pathways of residential electricity consumption in india using bottom-up modelling approach

Supervisor(s): Prof. Anand B Rao, Prof. Satish Agnihotri, Prof. Vinod Mishra, Prof. Srinivas Sridharan

RPC Member(s): Prof. Santanu Bandyopadhyay, Prof. Mita Bhattacharya

Abstract

Residential electricity consumption in India has been increasing rapidly and contributes to over a quarter of the country’s total electricity consumption. The sector is dynamic and diverse with wide variations in consumption levels across geographic regions, states and social groups  Technological progress and emerging end uses of electricity like cooking and electric vehicle charging would influence future residential electricity demand. Attempts to model residential electricity consumption in India has relied upon a top-down macroeconomic approach mostly focusing on price or income elasticity. The research aims to create bottom up models of residential electricity consumption in India using disaggregated household level data. In the past year, a detailed review of the studies on bottom up modelling of electricity in countries of South and South East Asia and China have been conducted. One hundred and ten determinants used by different studies have been identified, categorized and recorded based on the nature of their effect on electricity consumption. Using the learnings from the review, a model of residential electricity consumption for the state of Uttar Pradesh in India using the fixed effects panel data regression model has been created. The results indicate that the rural or urban nature of the location of the household and seasonality are important determinants of electricity consumption. In addition, demographic and building related variables have also been found to be significant.

Event Date: 
Friday, February 17, 2023 - 08:00 to 09:30