This comprehensive guide explores the integration of information systems and applications in smart buildings, emphasizing their crucial role in achieving a low?carbon economy through optimal energy efficiency and cost reduction.
This book provides cutting?edge insights into smart energy planning, including tidal energy forecasting using machine learning algorithms like XGBoost and Long Short?Term Memory (LSTM), and Internet of Things (IoT)?driven weather monitoring systems for urban smart buildings. Key features include practical implementations of serverless file management systems, Programmable Logic Controller (PLC) automation for Industry 4.0 applications, and Field?Programmable Gate Array (FPGA)?based solar?powered Electric Vehicle (EV) charging stations supporting sustainable infrastructure. Readers will benefit from the comprehensive coverage of cognitive security systems, GPS?integrated building automation, and ESP32?powered smart home automation. The publication addresses critical security considerations through vulnerability analysis in smart meters, ensuring robust implementations. These technologies enable significant energy efficiency improvements, operational cost savings, and enhanced property values while supporting sustainable environmental practices.
This publication serves developing and third?world nations where smart building technology is evolving, making it particularly relevant for universities, engineers, architects, and real estate entities implementing advanced building automation systems. The primary audience includes engineering professionals, construction organizations, property managers, and IT specialists requiring practical guidance for creating outstanding customer experiences while achieving substantial energy efficiency gains. This book also appeals to academic researchers, graduate students, and industry professionals focused on sustainable building design and smart city development initiatives.