Study level

  • PhD

Faculty/School

Faculty of Science

School of Mathematical Sciences

Topic status

We're looking for students to study this topic.

Research centre

Centre for Data Science

Supervisors

Dr Mahdi Abolghasemi
Position
Senior Lecturer in Statistical Data Science
Division / Faculty
Faculty of Science

Overview

This project aims to develop probabilistic forecasting models for renewable energies vi a Bayesian approach.  The models will be developed for very short term and short-term (10 minutes to 24 hours ahead).

Research activities

  • Developing forecasting models for forecasting energy (including renewable) demand.
  • Developing Bayesian models across different locations.
  • Developing an open-source data science model in R/Python for the public use.

Outcomes

  • Developing an open-source forecasting model in R/Python for the public use.
  • Publications in reputable journals and conferences.

Skills and experience

Familiarity with probability concepts, familiarity with statistical/machine learning models.

Scholarships

You may be eligible to apply for a research scholarship.

Explore our research scholarships

Keywords

Contact

Contact the supervisor for more information