My research project at Loughborough focused on forecasting indoor temperatures during heatwaves in UK homes with the use of statistical black-box models and machine learning techniques. The automated identification and the limited inputs required by the models allow the development of a very cost-efficient solution to predict the hourly overheating in individual rooms of free-running dwellings several days ahead. Time series forecasting can therefore enable the potential development of a computationally efficient indoor Heat-Health Warning System (iHHWS) for dwellings. Such systems could provide a powerful facility to inform occupants (and/or their carers) of impending heat-related health risks during heatwaves and enable timely and individually targeted interventions.