Hierarchical decision making and data analytics for smart energy markets

  • Thu 7 Nov 19

    14:00 - 16:00

  • Colchester Campus

    STEM Centre 3.1

  • Event speaker

    Dr Fanlin Meng

  • Event type

    Lectures, talks and seminars
    Mathematical Sciences Departmental Seminar

  • Event organiser

    Mathematical Sciences, Department of

  • Contact details

    Andrew Harrison

Mathematical Sciences Departmental Seminar

These Departmental Seminars are for everyone interested in Maths. We encourage anyone interested in the subject in general, or in the particular subject of the seminar, to come along. It's a great opportunity to meet people in the Maths Department and join in with our community. 

Refreshments are shared in the Department (STEM 5.1) after every seminar.

Hierarchical decision making and data analytics for smart energy markets

Dr Fanlin Meng

With the energy liberalisation and ICT in the energy and power sector, there is an increasing number of active energy players at different levels of the system from end customers to energy suppliers. Understanding such complex hierarchical interactions among different market players is critical in improving or even re-structuring the existing energy market, and adding ‘smartness’ to the system.

In this talk, Dr Fanlin Meng will present a hierarchical decision making model between the energy supplier and end customers for optimal multiple pricing where the energy supplier needs to determine the optimal number of tariffs to offer and optimal electricity prices for each tariff by considering the demand modelling of different types of customers.

Dr Meng will also discuss in the talk how the advanced metering infrastructure (AMI) can help improve the above hierarchical decision making process via smart meter data analytics through two real-world datasets.


Dr Fanlin Meng is a Lecturer in Data Science in the Department of Mathematical Sciences, University of Essex.

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