[HTML][HTML] Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives
Energy flexibility, through short-term demand-side management (DSM) and energy storage
technologies, is now seen as a major key to balancing the fluctuating supply in different …
technologies, is now seen as a major key to balancing the fluctuating supply in different …
The potential of building automation and control systems to lower the energy demand in residential buildings: A review of their performance and influencing …
L Van Thillo, S Verbeke, A Audenaert - Renewable and Sustainable …, 2022 - Elsevier
Well-designed and properly implemented Building Automation and Control Systems (BACS)
can contribute to a reduction of the energy consumption in buildings, while increasing …
can contribute to a reduction of the energy consumption in buildings, while increasing …
[HTML][HTML] An occupant-centric control framework for balancing comfort, energy use and hygiene in hot water systems: A model-free reinforcement learning approach
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 …
energy systems. The highly stochastic hot water use behavior of occupants has led to …
[HTML][HTML] Reinforcement Learning for proactive operation of residential energy systems by learning stochastic occupant behavior and fluctuating solar energy …
When it comes to residential buildings, there are several stochastic parameters, such as
renewable energy production, outdoor air conditions, and occupants' behavior, that are hard …
renewable energy production, outdoor air conditions, and occupants' behavior, that are hard …
[HTML][HTML] Towards a reduction of emissions and cost-savings in homes: Techno-economic and environmental impact of two different solar water heaters
South Africa currently has the highest carbon emission intensity per kilowatt of electricity
generation globally, and its government intends to reduce it. Some of the measures taken by …
generation globally, and its government intends to reduce it. Some of the measures taken by …
[HTML][HTML] Adaptive hot water production based on Supervised Learning
A major challenge in the common approach of hot water generation in residential houses
lies in the highly stochastic nature of domestic hot water (DHW) demand. Learning hot water …
lies in the highly stochastic nature of domestic hot water (DHW) demand. Learning hot water …
[HTML][HTML] Dynamic simulation of the energy consumption and carbon emissions for domestic hot water production in a touristic region
V Sousa, I Meireles - Journal of Cleaner Production, 2022 - Elsevier
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 …
of the water-energy nexus. As such, understanding its drivers and forecasting domestic hot …
Optimal schedule and temperature control of stratified water heaters
Water heating is a major component of domestic electrical energy usage, in some countries
contributing to 25% of the residential sector energy consumption. Demand response …
contributing to 25% of the residential sector energy consumption. Demand response …
[HTML][HTML] Predicting residential water and electricity usage profiles with a temporal histogram model
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 …
models the unique usage behaviour of electricity or hot water usage for individual residential …
[HTML][HTML] Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions
IA Kachalla, C Ghiaus - Energies, 2024 - mdpi.com
Accurate and efficient prediction of electric water boiler (EWB) energy consumption is
significant for energy management, effective demand response, cost minimisation, and …
significant for energy management, effective demand response, cost minimisation, and …