This paper introduces a database of 34 field-measured building occupant behavior datasets
collected from 15 countries and 39 institutions across 10 climatic zones covering various …

Building energy consumption prediction has gotten a lot of attention in the literature since it
is a complicated process influenced by a lot of different factors. Hence, precisely calculating …

Occupant behavior plays a crucial role in enhancing indoor thermal comfort and achieving
energy efficiency by influencing the operational modes of Heating, Ventilation, and Air …

The prediction of the occupancy in buildings is essential to design efficient energy control
strategies that optimize consumption and reduce losses while guaranteeing the comfort of …

This paper describes an open data set of 3,053 energy meters from 1,636 non-residential
buildings with a range of two full years (2016 and 2017) at an hourly frequency (17,544 …

In recent years, indoor air pollution has posed a significant threat to our society, claiming
over 3.2 million lives annually. Develo** nations, such as India, are most affected since …

Many advances have been made in building technology to help save energy, but influencing
the behavior of the occupants is still necessary to achieve low-energy use targets. One of the …

This paper proposes an improved stacking algorithm based on an ANN (S-ANN) model to
predict occupants' presence probability and solar photovoltaic (PV) power generation over a …

This paper provides an open dataset of measured energy use, solar energy production, and
building air leakage data from a 328 m2 (3,531 ft2) all-electric, zero energy commercial …

Climate change cannot be addressed without improving the energy efficiency of the
buildings in which we live and work. The papers in this collection describe and release a …