Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …

Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …

Buildings account for roughly 40% of the total energy consumption in the world, out of which
heating, ventilation, and air conditioning are the major contributors. Traditional heating …

European buildings are producing a massive amount of data from a wide spectrum of
energy-related sources, such as smart meters' data, sensors and other Internet of things …

The world has entered into a “smart” era. One area becoming smart is the place where we
live-homes. Smart homes are expected to be equipped with numerous sensors to …

Abstract Convolutional Neural Networks (CNN) are very useful for fully automatic extraction
of discriminative features from raw sensor data. This is an important problem in activity …

The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …

The increasingly large availability of sensors in modern houses, due to the establishment of
home assistants, allow to think in terms of smart houses where behaviours can be …

Various surveillance systems capture signs of human activities of daily living (ADLs) and
store multimodal information as time line behavioral records. In this paper, we present a …

This work delves into the significant impact of Machine Learning (ML) on the advancement
and improvement of Energy Management Systems (EMS), focusing on the incorporation of …