ItemConference Paper

Towards Net-Zero Hotels: AI-Enabled Energy Transition and Demand Response Models

Title
Towards Net-Zero Hotels: AI-Enabled Energy Transition and Demand Response Models
Creator
Sharma, Madhvi; Verma, Tanya; Kamal, Arif; Keskar, Yogesh; Upreti, Kamal
Description
This paper presents an AI and machine learning-driven approach to support energy transition and demand-side management in hotel operations, aiming for net-zero energy goals in hot and arid regions. The proposed framework leverages predictive modeling to forecast HVAC energy consumption based on key environmental and operational factors such as temperature, humidity, occupancy, and thermostat settings. Among the tested models, LightGBM demonstrated superior performance in terms of accuracy and computational efficiency. Additionally, a demand response strategy was simulated, where small thermostat adjustments during high-load periods led to significant energy savings without affecting guest comfort. The results highlight the effectiveness of integrating AI-powered decision systems into hospitality energy management, contributing to climate-resilient, sustainable hotel infrastructure. 2025 IEEE.
Source
Proceedings of International Conference on Digital Innovations for Sustainable Solutions, ICDISS 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
AI in sustainability; demand response; hotel energy management; HVAC prediction; LightGBM; machine learning; Net-zero energy; smart hospitality systems
Coverage
Sharma M., Amity School of Architecture and Planning, Amity University, Rajasthan, Jaipur, India; Verma T., Dean School of Architecture and Design, K R Mangalam University, Haryana, Gurugram, India; Kamal A., Architecture Section, Aligarh Muslim University, Aligarh, India; Keskar Y., Amity school of Architecture and Planning, Rajasthan, Jaipur, India; Upreti K., Department of Computer Science, Christ University, Delhi NCR, Ghaziabad, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833155641-9;
Format
online
Language
English
Type
Conference paper

Citation

Sharma, Madhvi; Verma, Tanya; Kamal, Arif; Keskar, Yogesh; Upreti, Kamal, “Towards Net-Zero Hotels: AI-Enabled Energy Transition and Demand Response Models,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25963.

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