Online building energy model to evaluate heating and cooling-related behavior changes for eco-feedback in a multifamily residential building

The participation of residents plays a key role in residential energy saving strategies because they make decisions on how to operate building heating and cooling systems. Eco-feedback is an effective tool to motivate energy conserving behaviours (ECBs) by providing information on energy efficiency and associated benefits. The main purpose of this study is to develop an online data-driven building energy model to evaluate heating and cooling-related behaviour changes for eco-feedback design in a multifamily residential building.