ItemConference Paper

Risk Analysis Using Ensemble Learning Model for Smart Energy Sustainability in Indian Cities

Title
Risk Analysis Using Ensemble Learning Model for Smart Energy Sustainability in Indian Cities
Creator
Kurian, Rhea; Sharon Roji Priya, C.; Christa, T.S.; Darshana, R.; Mathew, Bettina S.
Description
Analyzing risks involved in smart energy sustainability entails identifying, assessing, and mitigating diverse types of risks that include financial, operational, and environmental factors that can affect the dependability, efficiency, and ecological friendliness of energy systems in smart cities. The study uses a high-frequency dataset from smart meters in Mathura and Bareilly districts in India collected over 2 years from May 2019 to October 2021 which contains millions of data points. To forecast energy consumption patterns and reveal possible risks we used machine learning models like linear regression, random forest, gradient boosting, and extra tree classifier. By using several machine learning algorithms such as multiple linear regression (MLR), classification trees (CTs), random forests (RFs), and support vector machines (SVMs) this paper developed an empirical model to establish an interrelationship between district heating systems investments influence on the performance improvement variables for sustainable development goals. Notably, the ensemble learning approach had a remarkable precision rate of 94.69% indicating its importance in forecasting and managing demand for power. Moreover, the findings provide insights that could help policymakers and service providers improve urban energy sustainability and efficiency. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
Smart Innovation, Systems and Technologies;Volume;435 SIST;pp.395-409
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Energy consumption; Ensemble learning; Forecasting; Risk analysis; Smart energy; Smart meter data; Sustainability
Coverage
Kurian R., Christ (Deemed to be University), Karnataka, Bangalore, India; Sharon Roji Priya C., Christ (Deemed to be University), Karnataka, Bangalore, India; Christa T.S., Christ (Deemed to be University), Karnataka, Bangalore, India; Darshana R., Christ (Deemed to be University), Karnataka, Bangalore, India; Mathew B.S., Christ (Deemed to be University), Karnataka, Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 21903018; ISBN: 978-981962181-1;
Format
online
Language
English
Type
Conference paper

Citation

Kurian, Rhea; Sharon Roji Priya, C.; Christa, T.S.; Darshana, R.; Mathew, Bettina S., “Risk Analysis Using Ensemble Learning Model for Smart Energy Sustainability in Indian Cities,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25479.

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