Power demand prediction for buildings at a large scale is required power grid operation. The bottom-up method using physics-based models popular, but has some limitations such as heavy workload on model creation and long computing time. Top-down methods based data driven are fast, less accurate. Considering the similarity of patterns single superiority generative adversarial network (GAN), this...

The reference building models in the EnergyPlus tool do not consider stack effect. This is an issue for small and low-rise buildings. However, this significant evaluating heating cooling load of high-rise study evaluates quantifies effect energy simulation, EnergyPlus. commercial model set was used as a simulation test bed. vertical multi-stories shaft zones were added inside core zone existing...

Simplification of building energy models is one the most common approaches for efficiently estimating performance buildings over a whole city. In city-scale models, abstraction into an information model and division representative thermal zones cannot be building-specific but must generic applicable to many buildings. Considering limited research on such methods, in this study, comprehensive ev...

Temperature control in buildings has been a highly studied area of research and interest since it affects the comfort occupants. Commonly, temperature systems like centralized air conditioning or heating work with fixed set point locally at thermostat, but users turn on off system when they feel is too hot cold. This configuration clearly not optimal terms energy consumption even thermal for us...