Jawad Almuttawa

Artificial Intelligence Specialization · Cohort 2025

Core-EMS: A Reinforcement Learning Approach for Intelligent Building Energy Management

Commercial and residential buildings consume a significant share of global electricity. Traditional rule-based HVAC schedules are static and seldom optimise for varyingoccupancy or weather. We aim to learn an adaptive control policy with Deep Reinforcement Learning (DRL) that minimises energy use while keeping indoor comfortwithin bounds. Our system should quickly adapt to unseen buildings or climates by transferring experiencelearned elsewhere.

Mentor: Elias Al Ghazal

Read the final report (PDF)

See it in the program report (PDF)