The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …

Building Energy prediction has emerged as an active research area due to its potential in
improving energy efficiency in building energy management systems. Essentially, building …

With the rapid growth in the volume of relevant and available data, feature engineering is
emerging as a popular research subject in data-driven building energy prediction owing to …

Building energy usage has been an important issue in recent decades, and energy
prediction models are important tools for analysing this problem. This study provides a …

Accurate prediction of indoor temperature can provide more reference data for indoor
thermal comfort assessment and the operational effectiveness of heating, ventilation and air …

The residential sector accounts for an increasing amount of global energy use with
continued urbanization. Residential energy-informed urban planning offers an economical …

The development of data-driven building energy consumption prediction models has gained
more attention in research due to its relevance for energy planning and conservation …

Refined control is significant to ensure on-demand heating and efficient operation in district
heating system (DHS). This paper proposes a dynamic control strategy for substations …

Short-term building energy consumption prediction is of great significance to the optimal
operation of building energy systems and conservation. Machine-learning models are …

Building energy-saving retrofitting has become an essential way for the building sector to
cope with climate change. Furthermore, climate change affects building retrofit strategies …