Könyv Machine Learning and Data Analysis for Energy Efficiency in Buildings Tianyi Zhao

Machine Learning and Data Analysis for Energy Efficiency in Buildings

Intelligent Operation, Maintenance, and Optimization of Building Energy Systems

Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Kiadói készleten rendelésre
Küldés 28-34 napon belül
62 323 Ft
Machine Learning and Data Analysis for Energy Efficiency in Buildings: Intelligent Operation, Mainte...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2025
oldal
250
EAN
9780443289538
ISBN
0443289530
Enbook ID
46871606
Súly
450
Méretek
152 x 229

Teljes leírás

Machine Learning and Data Analysis for Energy Efficiency in Buildings: Intelligent Operation, Maintenance, and Optimization of Building Energy Systems is a guidebook for big data use in energy efficiency and control. This book begins with an introduction to data basics, from selecting and evaluating data to the identification and repair of abnormalities. In Part II, data mining is covered and applied to energy forecasting, including long- and short-term predictions, and the introduction of occupant-focused behaviour analysis. Part III breaks down the current methods for supply and demand applications, including a variety of solutions for monitoring and managing energy use and supply. Case studies are included in each part to assisting 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, ‘Machine Learning and Data Analysis for Energy Efficiency in Buildings’ will provide students, researchers, and professionals with an essential cutting-edge resource in 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

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