Occupancy prediction

Occupancy prediction using deep learning approaches across multiple space types: A minimum sensing strategy

The proliferation of sensing technologies has allowed the collection of occupancy-related data to support various building applications, including adaptive HVAC and lighting controls, maintenance operations, and space utilisation. However, past …

ROBOD, room-level occupancy and building operation dataset

Building occupancy forecasting: A systematical and critical review

Indoor environment construction for occupants has high energy consumption; as such, occupancy plays a noteworthy role in the complete life cycle phase of buildings, including design, operation, and retrofitting. In the past few years, building …

Forecasting building occupancy: A temporal-sequential analysis and machine learning integrated approach

Building occupancy is the basis for building energy simulations, operations, and management. With the increasing need for energy conservation and the occupant-centric service of building energy systems, occupancy forecasting has become an essential …