Tianyi Zhao – författare

Machine Learning and Data Analysis for Energy Efficiency in Buildings: Intelligent Operation, Maintenance, and Optimization of Building Energy Systems introduces data basics, from selecting and evaluating data to the identification and repair of abnormalities. Other sections cover data mining applied to energy forecasting, including long- and short-term predictions, the introduction of occupant-focused behavior analysis, and current methods for supply and demand applications. Case studies are included in each part to assist in evaluation and implementation of these techniques across building energy systems.Working from the fundamentals of big data analysis to a complete method for building energy assessment, flexibility, and management, this book provides students, researchers, and professionals with an essential, cutting-edge resource on this important technology.Builds from data basics to complex solutions and applications for energy efficiency in building systemsIncludes step-by-step methods for data anomaly and fault identification, repair, and maintenanceProvides real-world case studies and applications for immediate use in research and industry

Machine Learning and Data Analysis for Energy Efficiency in Buildings: Intelligent Operation, Maintenance, and Optimization of Building Energy Systems introduces data basics, from selecting and evaluating data to the identification and repair of abnormalities. Other sections cover data mining applied to energy forecasting, including long- and short-term predictions, the introduction of occupant-focused behavior analysis, and current methods for supply and demand applications. Case studies are included in each part to assist in evaluation and implementation of these techniques across building energy systems.Working from the fundamentals of big data analysis to a complete method for building energy assessment, flexibility, and management, this book provides students, researchers, and professionals with an essential, cutting-edge resource on this important technology. - Builds from data basics to complex solutions and applications for energy efficiency in building systems- Includes step-by-step methods for data anomaly and fault identification, repair, and maintenance- Provides real-world case studies and applications for immediate use in research and industry

This book introduces the intelligent control technology of heating ventilation and air conditioning (HVAC) water system in detail, studying its thermal distribution characteristics and optimal control methods combining the nonlinearity, strong coupling and delay characteristics to improve the overall operation and maintenance level as well as the energy efficiency of HVAC water system. Intelligent control technology of HVAC water systems involves various fields such as electrical, mechanical, environmental and civil engineering. The book establishes a basic research framework for this topic using a sub-total approach, emphasizing the importance of thermodynamic properties and the significant influence of nonlinear properties in the optimal control of the system. This book is intended for undergraduate and postgraduate students interested in automated control of HVAC water systems, researchers investigating methods for system energy conservation and optimization and design engineers working on intelligent operation and maintenance of HVAC water system.