Decision optimisation in energy supply chain

Overview

this project aims to develop integrated forecasting and decision optimisation models for renewable energies.

Research activities

• Analysing data for wind/solar farms.
• Developing forecasting models for wind and solar farms.
• Developing a multi-objective optimisation model to take into account forecasts and decisions.

Outcomes

• Advanced Forecasting models for forecasting renewable energies power.
• Multi-objective optimisation model for optimising the energy supply chain.
• Publications in reputable conferences and journals.

Skills and experience

Familiar with optimisation including linear and mixed-integer programming, genetic algorithm, and/or other meta-heuristics.

Scholarships

You may be eligible to apply for a research scholarship.

Explore our research scholarships

Keywords

• Forecasting
• Machine learning
• Optimisation

Contact

Contact the supervisor for more information