How ML could slash energy consumption in buildings - TechHQ

Machine learning techniques don't just have the capability to make our computers, software, and devices more'intelligent' -- enhancing systems with the ability to predict, personalize, analyze, and more. More direct, physical advantages include their ability to reduce the amount of power these systems use. Engineers at the Swiss Center for Electronics and Microtechnology (CSEM) develop a new machine-learning method capable of cutting energy use in real-life scenarios, such as the heating, ventilation, and air conditioning (HVAC) systems in buildings. HVAC systems are typically responsible for a significant proportion of total building energy consumption, and subsequently, a large volume of total energy consumption in any industry. The engineers' research was published in IEEE Transactions on Neural Networks and Learning Systems.