PhD: Data-Driven Microgrid Control with ML Forecasting

Swansea University; United Kingdom; On-site; GBP 21,000 - 26,000; Full time

Job summary

A leading UK educational institution is offering a PhD position focusing on the integration of renewable energy sources and machine learning forecasting methods. The scholarship covers tuition fees and provides an annual stipend. This role is crucial for optimizing energy management strategies in microgrids and involves substantial coding in MATLAB and Simulink. Eligible candidates must have a relevant undergraduate degree and ideally a master's degree. This opportunity is open to international students under specific conditions.

Benefits

Tuition fees covered

Annual stipend at UKRI rate

Enhanced stipend payment of £3000 per annum

Qualifications

• Applicants must hold an undergraduate degree at 2.1 level.
• Must have a master's degree or a UK first class honours degree.
• Experience with machine learning methods is preferred.

Responsibilities

• Forecast local generation and demand using machine learning.
• Propose and optimize an energy management strategy for a local energy community.
• Investigate vehicle-to-home and vehicle-to-community energy trading strategies.

Skills

Machine Learning

MATLAB

Data Analysis

Education

Undergraduate degree at 2.1 level

Master's degree

Tools

Simulink

Job description

A leading UK educational institution is offering a PhD position focusing on the integration of renewable energy sources and machine learning forecasting methods. The scholarship covers tuition fees and provides an annual stipend. This role is crucial for optimizing energy management strategies in microgrids and involves substantial coding in MATLAB and Simulink. Eligible candidates must have a relevant undergraduate degree and ideally a master's degree. This opportunity is open to international students under specific conditions.