Appliance level standby burst forecasting and energy management using machine learning algorithms

Author:

Mustafa Abid,Othman Mohammad Lutfi Bin,Wahab Noor Izzri Bin Abdul,Tariq Waqar

Publisher

AIP Publishing

Reference17 articles.

1. Susanne, A., & Hiroshi, F. “Energy-efficient algorithms for flow time minimization” ACM Transactions on Algorithms, 3(4) (2007).

2. Design and implementation of an intelligent energy saving system based on standby power reduction for a future zero-energy home environment

3. Multi-agent based distributed control architecture for microgrid energy management and optimization

4. IEA, “IEA Online Data Services” International Energy Agency (IEA) (2013).

5. Yanyu, Z., Peng, Z., & Chuanzhi, Z. “Optimization algorithm for home energy management system based on artificial bee colony in smart grid” IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, CYBER Proceeding, pp. 734–740, (2015)

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