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• W2068796650 abstract "There is a growing interest in integrated control strategies for building systems with numerous responsive elements, such as solar shading devices, thermal storage and hybrid ventilation systems, both for energy efficiency and for demand response. Model predictive control is a promising way of approaching this challenge. This paper presents a flexible software framework for model predictive control using GenOpt, along with a modified genetic algorithm developed for use within it, and applies it to a case study of demand response by zone temperature ramping in an office space. Various areas for further research and development using this framework are discussed." @default.
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• W2068796650 date "2010-07-01" @default.
• W2068796650 modified "2023-09-26" @default.
• W2068796650 title "A software framework for model predictive control with GenOpt" @default.
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• W2068796650 doi "https://doi.org/10.1016/j.enbuild.2010.01.022" @default.
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