This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

Reduced energy consumption is essential for a rapid transition to net zero carbon
emissions. Residential energy may constitute 27% of primary energy consumption, and 20 …

Occupants' behavior is a major source of uncertainty for the optimal operation of building
energy systems. The highly stochastic hot water use behavior of occupants has led to …

Water heating contributes up to 40% of a household's total electricity usage and places a
substantial burden on the electricity grid due to high power ratings and users' largely …

At a buildings' level, domestic hot water consumption is amongst the most relevant examples
of the water-energy nexus. As such, understanding its drivers and forecasting domestic hot …

The temporal histogram model and synthesiser that is presented in this paper statistically
models the unique usage behaviour of electricity or hot water usage for individual residential …

Abstract Space heating controls in offices usually follow static schedules detached from
actual occupancy, which results in energy waste by unnecessarily heating vacant offices …

Accurate and efficient prediction of electric water boiler (EWB) energy consumption is
significant for energy management, effective demand response, cost minimisation, and …

Water is a precious resource that can be intelligently managed. Effective water usage
demands computerized home water supply management in a culture where water tanks …

A major challenge in the operation of water heating systems lies in the highly stochastic
nature of occupant behavior in hot water use, which varies over different buildings and can …