A smart home energy management system using IoT and big data analytics approach

By A. Al-Ali, I. Zualkernan, Mohammed Rashid, Ragini Gupta, Mazin Alikarar. IEEE transactions on consumer electronics, 2017

551 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a607e0c6a0d5d1321eca383939dbcb2b638613a2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Chau Yuen
2. Wayes Tushar
3. Tapan Kumar Saha
4. H. Vincent Poor
5. Thomas Morstyn

In Electrical and Electronic Engineering

1. Chau Yuen
2. H. Vincent Poor
3. Wayes Tushar
4. Tapan Kumar Saha
5. Thomas Morstyn
6. Yuanwei Liu
7. Zhiguo Ding
8. Robert Schober

Citations in the corpus

• Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future (2020, unknown): “In (Al-Ali et al., 2017), an EMS for smart home is realized exploiting off-the-shelf Business Intelligence (BI) and Big Data analytics software packages to better manage energy consumption and meet consumer demands.”
• Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges (2020, background): “An important part of P2P energy sharing is that prosumers’ monitor their own energy generation and demand [50], control and schedule the energy consumption pattern of various appliances [51], and set the rules for the devices [52]”