Tackling Electricity Crisis in India Using Machine Learning Techniques

Pusuluri, Veera Avinash Chowdary (2023) Tackling Electricity Crisis in India Using Machine Learning Techniques. Masters thesis, Dublin, National College of Ireland.

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Abstract

A major barrier to long term development in India, the issue of electricity shortages is damaging economic growth and living standards for millions. The aim of this study is to identify new solutions for addressing and mitigating electricity scarcity problems through machine learning approaches. By studying past consumption patterns, weather data and generation of electricity, an algorithm based on machine learning may be able to anticipate demand changes, adjust energy distribution or enhance overall grid efficiency. This research is focused on building predictive models that can accurately estimate electricity consumption, which allows for early allocation of resources and grid management. Additionally, to complement the current infrastructure of electricity generation, optimisation algorithms will be applied to find out which locations are most suitable for renewables like solar and wind. Realtime monitoring and control of the energy supply will be enhanced by combining Smart Grid technology with Internet of Things devices providing greater flexibility in response to changing demand patterns. The study aims to provide policymakers, energy planning and interested parties with accurate data and tools so that they can make informed decisions which would lead to a more robust and sustainable power infrastructure in India. This study will help to provide a future in which electricity is more readily available, reliable and proportionate with rising national demand for energy through the use of machine learning.

Item Type:	Thesis (Masters)
Supervisors:	Name Email -, - UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electricity Supply Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	23 May 2025 12:35
Last Modified:	23 May 2025 12:35
URI:	https://norma.ncirl.ie/id/eprint/7620

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