In our state-of-the-art study, we improve neural network-based models for predicting energy
consumption in buildings by parallelizing the CHC adaptive search algorithm. We compared …

Optimizing the operation of ground source heat pumps requires simulation of both short-term
and long-term response of the borehole heat exchanger. However, the current physical and …

Heat pump systems have the potential to be used as controllable load to compensate for the
uncertainties in modern power systems. The moving boundary model for heat pumps is …

Virtual Reality (VR) is considered to be a powerful modern medium for immersive data
visualization and exploration. However, few studies have proposed solutions to complement …

This paper addresses an interactive virtual reality based application of a physical
environment. The application presents notable aspects for education, data analysis and …

Smart building integrated microgrid development shows attractive progress in research and
application. Related structures of smart building and microgrid growth are more and more …

Kurzfassung Die Entwicklung mathematischer Computermodelle zur Simulation
dynamischer Prozesse ist aufwendig und zeitintensiv. Um diesen Vorgang zu …

Deriving mathematical models for the simulation of dynamic processes is costly and time-
consuming. This paper examines the possibilities of deep neural networks (DNNs) as a …

У статті розглянуто інтеграцію нейронних мереж для моделювання теплонасосних
установок у MATLAB Simulink. Використано модель LSTM для прогнозування …

Deriving mathematical models for the simulation of dynamic processes is costly and time-
consuming. This paper examines the possibilities of deep neural networks (DNNs) as a …