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Short term predictions of occupancy in commercial buildings—Performance analysis for stochastic models and machine learning approaches

https://doi.org/10.1016/j.enbuild.2017.09.052

Li, Zhaoxuan; Dong, Bing (January 2018, Energy and Buildings)

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Occupancy-based buildings-to-grid integration framework for smart and connected communities

https://doi.org/10.1016/j.apenergy.2018.03.007

Dong, Bing; Li, Zhaoxuan; Taha, Ahmad; Gatsis, Nikolaos (June 2018, Applied Energy)

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A new modeling approach for short-term prediction of occupancy in residential buildings

https://doi.org/10.1016/j.buildenv.2017.05.005

Li, Zhaoxuan; Dong, Bing (August 2017, Building and Environment)

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Buildings-to-Grid Integration Framework

https://doi.org/10.1109/TSG.2017.2761861

Taha, Ahmad F.; Gatsis, Nikolaos; Dong, Bing; Pipri, Ankur; Li, Zhaoxuan (October 2017, IEEE Transactions on Smart Grid)

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Modelling, Simulation and Control of Smart and Connected Communities

Li, Zhaoxuan; Pipri, Ankur; Dong, Bing; Gatsis, Nikolaos; Taha, Ahmad; Yu, Nanpeng (August 2017, Building Simulation 2017)

This study attempts to establish the need for a framework to assess the impact of connected buildings in a smart community. The contribution is a software framework designed to optimize buildings and grids at a district level. The following research products are developed: (1) An innovative method to model a cluster of buildings—with people’s behavior embedded in the cluster’s dynamics—and their controls so that they can be integrated with grid operation and services; (2) a novel optimization framework to solve complex, centralized control problems for large-scale systems, leveraging convex programming approaches; and (3) a methodology to assess the impacts of connected buildings in terms of (a) the grid’s operational stability and safety and (b) buildings’ optimized energy consumption. To test the proposed framework, a large-scale simulation of a subtransmission network with three power generating stations and serving over 300 artificial buildings is conducted.
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