Stochastic Model Predictive Control of Energy Management Systems with Human in the Loop

Shimamoto, Shogo; Kobayashi, Koichi; Yamashita, Yoichi

doi:10.1109/gcce50665.2020.9291914

Cited by 1 publication

(2 citation statements)

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“…With a broader view, Shogo Shimamoto et al proposed a stochastic and model predictive control combining model for EMS (Energy Management System) with the aid of human-in-the-loop [91]. Through using a discrete-time Markov chain and the related Following the above research, Maximilian Schütte et al proposed a building energy managing mechanism using human-in-the-loop control [90], which can minimize energy costs and occupants' discomfort, and the interest of the occupants in participating in the building energy management can be greatly promoted by adopting the team gain mechanism.…”

Section: Human-in-the-loopmentioning

confidence: 99%

“…With a broader view, Shogo Shimamoto et al proposed a stochastic and model predictive control combining model for EMS (Energy Management System) with the aid of human-in-the-loop [91]. Through using a discrete-time Markov chain and the related probability distribution computing of the temperature set point, the control problem could be simplified to a mixed integer linear programming method.…”

Section: Human-in-the-loopmentioning

confidence: 99%

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Human-Cyber-Physical Systems for Energy Internet—A Review

et al. 2023

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As the research of HCPS in EI is ongoing, an increasing number of problems should be addressed, such as the leading role or aid function definition of humans, the coordination of humans with cyber and physical equipment, the state awareness of information handling, etc. Therefore, an increasing number of advanced techniques should be considered and adopted, such as IOT, AI and big data, etc., the main target of which is to improve the timely, digitalized, informationized and intelligent characters of the related tasks. This paper first introduces the applications of CPS in every industry, especially in the power grid and EI (Energy Internet), the introduction of which can be classified as a framework design, support technologies and algorithms, system function, power ancillary service, Energy Internet realization, etc. Then, this paper summarizes the related technologies of Human-Cyber-Physical Systems, which mainly include the areas of system design, theoretical analysis, technique development and application forecasting, which emphasizes its applications in EI. For the development of HCPS, it uses the human-in-the-loop concept and digital transformation as the future research and development directions, the performance of which can be largely promoted through these means. With the aid of HCPS, the optimal system performance of EI can be achieved more robustly, which finally evolves into an integrated and comprehensive modern power grid.

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Section: Human-in-the-loopmentioning

confidence: 99%

“…With a broader view, Shogo Shimamoto et al proposed a stochastic and model predictive control combining model for EMS (Energy Management System) with the aid of human-in-the-loop [91]. Through using a discrete-time Markov chain and the related probability distribution computing of the temperature set point, the control problem could be simplified to a mixed integer linear programming method.…”

Section: Human-in-the-loopmentioning

confidence: 99%