Implementing an efficient control strategy for heating, ventilation, and air conditioning
(HVAC) systems can lead to improvements in both energy efficiency and thermal …

Data quality is important across sectors to ensure that data meets the requirements of its
users, but until now little attention has been given to how it is reported in the architecture …

Indoor temperature modeling is a crucial part towards efficient Heating, Ventilation and Air
Conditioning (HVAC) systems. Data-driven black-box approaches have been an attractive …

As one of the three major fields of building energy consumption, public buildings (PBs) are
under pressure regarding energy saving and emission reductions, with PB energy …

The wide availability of massive building operational data has motivated the development of
advanced data-driven methods for building energy predictions. Existing data-driven …

Building energy consumption prediction plays an irreplaceable role in energy planning,
management, and conservation. Constantly improving the performance of prediction models …

Demand side management at district scale plays a crucial role in the energy transition
process, being an ideal candidate to balance the needs of both users and grid, by managing …

The concept of maintaining indoor environmental quality comprising building indoor
temperature, relative humidity, CO 2, and volatile organic compound (VOC) level poses new …

Indoor environmental quality is an important issue since people spend most of their time
indoors. This paper aims to develop an autonomous indoor environment management …

Accurate indoor temperature forecasting can facilitate energy savings of the building without
compromising the occupant comfort level, by providing more accurate control of the HVAC …