The increasing need for reducing carbon emissions and promoting smart, energy-saving buildings is fueling the rising trend of sophisticated control systems. This study provides comprehensive evaluations of advanced controls specifically designed for such buildings. The topics covered are diverse, encompassing big data, data collection, automation in construction, digitalization of energy, and modeling of building energy. The subjects covered include controls that prioritize the needs of occupants, ensuring energy security, providing flexibility and dependability, and utilizing machine learning for control systems. Furthermore, the study explores controllers that make use of artificial intelligence, adaptation to climate change, and the challenges and opportunities associated with achieving a balance between complexity and control performance. This study deepens our understanding and application of advanced controls in the creation of eco-friendly, sustainable structures. Moreover, this review will offer academics, architects, and legislators valuable information for the development of smart control technologies and the need for smart and sustainable buildings.

中文翻译：

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通过智能建筑系统集成提高能源效率和适应性的综述

减少碳排放和推广智能节能建筑的需求日益增长，推动了复杂控制系统的不断增长趋势。这项研究提供了专门为此类建筑设计的先进控制的综合评估。涵盖的主题多种多样，包括大数据、数据收集、建筑自动化、能源数字化和建筑能源建模。涵盖的主题包括优先考虑居住者需求的控制、确保能源安全、提供灵活性和可靠性以及利用控制系统的机器学习。此外，该研究还探讨了利用人工智能的控制器、对气候变化的适应以及与实现复杂性和控制性能之间的平衡相关的挑战和机遇。这项研究加深了我们对先进控制在创建环保、可持续结构方面的理解和应用。此外，本次审查将为学者、建筑师和立法者提供有关智能控制技术的发展以及智能和可持续建筑需求的宝贵信息。