Emerging Technologies for Developing Countries. First International EAI Conference, AFRICATEK 2017, Marrakech, Morocco, March 27-28, 2017 Proceedings

Research Article

Joint Energy Demand Prediction and Control

  • @INPROCEEDINGS{10.1007/978-3-319-67837-5_9,
        author={Mehdi Merai and Jia Yu},
        title={Joint Energy Demand Prediction and Control},
        proceedings={Emerging Technologies for Developing Countries. First International EAI Conference, AFRICATEK 2017, Marrakech, Morocco, March 27-28, 2017 Proceedings},
        proceedings_a={AFRICATEK},
        year={2017},
        month={10},
        keywords={Machine learning Smart grid Energy prediction and control HVAC Micro grid},
        doi={10.1007/978-3-319-67837-5_9}
    }
    
  • Mehdi Merai
    Jia Yu
    Year: 2017
    Joint Energy Demand Prediction and Control
    AFRICATEK
    Springer
    DOI: 10.1007/978-3-319-67837-5_9
Mehdi Merai1,*, Jia Yu1,*
  • 1: Concordia Institute of Information System Engineering, Concordia University
*Contact email: m_erai@encs.concordia.ca, jiayuan.yu@concordia.ca

Abstract

Joint electricity predictor and controller (JEPAC) is a system that allows energy suppliers to better predict their electricity grid activity and then, optimize their energy production, management and distribution. In fact, the more accurate the prediction is, the lesser its negative impact on the economy and environment. Once the JEPAC system is installed in the energy consumer place, it will collect indoor ambient parameters and energy usage and thus predict the individual future consumption. This prediction will be frequently transmitted to the energy supplier as a formatted commitment then later, the same device will try to respect this commitment by adjusting wisely the user’s appliances and HVAC. As a result, the energy supplier will then crowdsource the global energy demand by aggregating highly detailed individual consumption commitments. This will allow a better prediction and control of the future energy demand.