A Decentralized Stay-Time Based Occupant Distribution Estimation Method for Buildings

Jia, Qing‐Shan; Wang, Hengtao; Lei, Yulin; Zhao, Qianchuan; Guan, Xiaohong

doi:10.1109/tase.2014.2361122

Cited by 19 publications

(3 citation statements)

References 21 publications

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“…The initial policy d 1 is selected as a naive estimation, which increases the estimation when E C k = e 1 , reduces it when E C k = e 2 , and keeps it unchanged otherwise. This policy is popularly adopted in commercial sensing systems, but is known to have accumulative errors [33,34]. We consider five groups of experiments.…”

Section: Numerical Resultsmentioning

confidence: 99%

Event-based optimization with random packet dropping

Jia

Tang

Lang

2020

Sci. China Inf. Sci.

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Event-based optimization (EBO) provides a general framework for policy optimization in many discrete event dynamic systems where decision making is triggered by events that represent state transitions with common features. Because the number of events can be defined by the user and usually increases linearly with respect to the system scale, EBO has good potential to address large-scale problems where the state space grows exponentially. However, in many practical systems, sensors are geographically distributed and connected to a central controller through imperfect communication channels. Therefore, events observed by the sensors may not reach the controller. Optimization methods of event-based policies in these cases have not yet been identified. In this paper, we consider this important problem and make three major contributions. First, we formulate a mathematical EBO model in which the communication between sensors and controllers is subject to random packet dropping. Second, we show that this EBO model can be converted to another EBO model with perfect communication. Then, the performance difference equation and the performance derivative equation for event-based policies are straightforward to develop. One gradient-based policy iteration algorithm is developed for problems where the state transition probabilities are explicitly known, while another for problems where they are unknown. Third, the performance of the algorithms and the impact of the packet dropping probability on policy performance are numerically demonstrated on a single-zone occupant level estimation problem in buildings.

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Section: Numerical Resultsmentioning

confidence: 99%

Event-based optimization with random packet dropping

Jia

Tang

Lang

2020

Sci. China Inf. Sci.

Self Cite

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“…The government and other parties have raised the effort towards energy saving by reducing energy consumption in various aspects. In many studies, buildings are the largest contributor to the power use and production of greenhouse gases in the globe [57,59]. Meanwhile, HVAC systems allocate a big portion of the energy usage in buildings [60].…”

Section: Discussionmentioning

confidence: 99%

Improving Optimization Solution for Facility Layout Problem with Thermal Comfort

Bakeri

Omar

Nawi

et al. 2020

ARFMTS

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Facility Layout Problem (FLP) can be considered as a classical problem in quantitative studies. However, the literature in FLP are largely neglected the thermal comfort as part of the objective function. Today, energy savings for buildings are a major concern in the world as they cover a big portion of energy use. The public room consumes high energy use because of its ability to occupy many people at one time. Issues arise when each person has a dissimilar thermal satisfaction rate, while each area in a room provides a different temperature. There are many factors that influence the people dispersion in the room including the facility layout. However, it is really testing to handle an air-conditioning control () system by considering the mention factors to ensure the thermal satisfaction is increased and energy is reduced. Since lack of report on thermal factors in Facility Layout Problem (FLP) area, this work aims to optimize the temperature setting of an system at the best point and achieving the finest plan for the facility layout in a room. Further, our ultimate goals to maximize the thermal comfort level and reduce energy consumption are able to accomplish. A non-linear mathematical model is utilized to optimize the thermal satisfaction rate () and room layout. At the end of the article, we proposed an Evolutionary Algorithm (EA) to find a quality solution or near optimal since it is hard to solve this problem in a reasonable time.

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“…Hypothesis 2: The total number of people in the indoor area i is relatively fixed. For these two hypotheses, we propose a method based on the residence time in a certain area to estimate the number of people in the area [9] . The time at which the person leaving the…”

Section: Analysis Of Algorithmsmentioning

confidence: 99%

Optimization of Public Building Monitoring System Based on Human Behavior

Guo¹,

Gao²,

Guo-jian³

et al. 2019

Proceedings of the 2nd International Conference on Electrical and Electronic Engineering (EEE 2019)

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In recent years, with the rapid development of the economy, China's building energy consumption has increased year by year, and energy conservation has become an inevitable requirement for development. Among them, the impact of human settlements on building energy consumption is obvious, and the study of building energy consumption by human settlements has certain social significance. At present, the research on the model of human behavior is obtained under certain assumptions, resulting in inaccurate results. Therefore,a set of energy consumption monitoring system platform based on personnel behavior was developed, and the number acquisition device was developed. The cumulative error estimation algorithm was used to optimize it, which provided a data foundation for solving the problem of energy-saving optimization of intelligent buildings based on human settlements.

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A Decentralized Stay-Time Based Occupant Distribution Estimation Method for Buildings

Cited by 19 publications

References 21 publications

Event-based optimization with random packet dropping

Event-based optimization with random packet dropping

Improving Optimization Solution for Facility Layout Problem with Thermal Comfort

Optimization of Public Building Monitoring System Based on Human Behavior

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