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, (Accepted for Publication)

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Abstract

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Item Type:Conference Proceedings
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zoha, Dr Ahmed and Manzoor, Mr Habib Ullah and Taha, Dr Ahmad and Abbas, Dr Hasan and Khan, Ahsan Raza 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

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