Energy Management in an Agile Workspace using AI-driven Forecasting and Anomaly Detection

Manzoor, H. U., Khan, A. R., Al-Quraan, M., Mohjazi, L. , Taha, A. , Abbas, H. , Hussain, S. , Imran, M. A. and Zoha, A. (2022) Energy Management in an Agile Workspace using AI-driven Forecasting and Anomaly Detection. In: 4th Global Power, Energy and Communication Conference (GPECOM 2022), Cappadocia, Turkey, 14-17 June 2022, pp. 644-649. ISBN 9781665469258 (doi: 10.1109/GPECOM55404.2022.9815599)

Abstract

Smart building technologies transform buildings into agile, sustainable, and health-conscious ecosystems by leveraging IoT platforms. In this regard, we have developed a Persuasive Energy Conscious Network (PECN) at the University of Glasgow to understand the user-centric energy consumption patterns in an agile workspace. PECN consists of desk-level energy monitoring sensors that enable us to develop user-centric models that can be exploited to characterize the normal energy usage behavior of an office occupant. In this study, we make use of staked long short-term memory (LSTM) to forecast future energy demands. Moreover, we employed statistical techniques to automate the detection of anomalous power consumption patterns. Our experimental results indicate that post-anomaly resolution leads to 6.37% improvement in the forecasting accuracy.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zoha, Dr Ahmed and Taha, Dr Ahmad and Abbas, Dr Hasan and Khan, Ahsan Raza and Manzoor, Habib Ullah and Imran, Professor Muhammad and Hussain, Dr Sajjad and Alquraan, Mr Mohammad and Mohjazi, Dr Lina
• Authors: Manzoor, H. U., Khan, A. R., Al-Quraan, M., Mohjazi, L., Taha, A., Abbas, H., Hussain, S., Imran, M. A., and Zoha, A.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISBN: 9781665469258
• Published Online: 11 July 2022
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in Proceedings of the 4th Global Power, Energy and Communication Conference (GPECOM 2022): 644-649
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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