Building energy use is expected to grow by more than 40% in the next 20 years. Electricity remains the largest energy source consumed by buildings, and that demand is growing. To mitigate the impact of the growing demand, strategies are needed to improve buildings' energy efficiency. In residential buildings home appliances, water, and space heating are answerable for the increase of energy use, while space heating and other miscellaneous equipment are behind the increase of energy utilization in non-residential buildings. Building energy management systems support building managers and proprietors to increase energy efficiency in modern and existing buildings, non-residential and residential buildings can benefit from building energy management system to decrease energy use. Base on the type of building, different management strategies can be used to achieve energy savings. This paper presents a review of management strategies for building energy management systems for improving energy efficiency. Different management strategies are investigated in non-residential and residential buildings. Following this, the reviewed researches are discussed in terms of the type of buildings, building systems, and management strategies. Lastly, the paper discusses future challenges for the increase of energy efficiency in building energy management system.

A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis

https://escholarship.org/content/qt5zt6c00q/qt5zt6c00q.pdf?t=q7nfab

State-of-the-art on research and applications of machine learning in the building life cycle

Digital twin and its implementations in the civil engineering sector

A scalable Bluetooth Low Energy approach to identify occupancy patterns and profiles in office spaces

A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings

https://escholarship.org/content/qt9b52v37f/qt9b52v37f.pdf?t=pmhy2b

Ryan Qi Wang

Papers

Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification

Measuring the cognitive loads of construction safety sign designs during selective and sustained attention