Building information modeling can help in predicting the energy efficiency in future based on dynamic patterns obtained by visualization of data. The aim of this study was to investigate the effective parameters of energy consumption using BIM technology which can evaluate the buildings energy performance. First, three forms of general states in the building were modeled to evaluate the propose...

Certain Merton type consumption−investment problems under partial information are reduced to the ones of full and within framework a complete market model. Then, specializing conditionally log−Gaussian diffusion models, concrete analysis about optimal values strategies is performed by using analytical tools like Feynman−Kac formula, or HJB equations. The explicit solutions related forward-backw...

The high-resolution data on electricity consumption, recorded by smart meters at customers' premises, are valuable sources of operational information and consumption patterns. In addition, characterization plays an undeniable role in the implementation demand response (DR) programs, as any changes patterns could affect DR programs. Therefore, accurate algorithm for detecting is very useful not ...

We consider a long-term time optimal consumption and investment problem where an investor wants to maximize the expected power utility of consumption. treat stochastic factor model that mean returns risky assets depend linearly on underlying economic factors formulated as solutions linear differential equations. also partial information case can not observe process use only past assets. Then, o...