Machine Learning and Data Analysis for Energy Efficiency in Buildings

Name: Machine Learning and Data Analysis for Energy Efficiency in Buildings
Brand: Elsevier Science
SKU: 9780443289538
Price: 185.0 EUR
Availability: InStock

Intelligent Operation, Maintenance, and Optimization of Building Energy Systems

Автор: Tianyi Zhao, Chengyu Zhang, Ben Jiang

Език:

Корици: С меки корици

Издател: Elsevier Science

Наличност: Налично при издателя, по поръчка

Изпращаме след 28-34 дни

185.00 € 361.84 лв

Machine Learning and Data Analysis for Energy Efficiency in Buildings: Intelligent Operation, Mainte...

Информация за книгата

Автор

Tianyi Zhao, Chengyu Zhang, Ben Jiang

Език

Английски език

Корици

Книга - С меки корици

Издадена

2025

страници

250

EAN

9780443289538

ISBN

0443289530

Enbook ID

46871606

Издател

Elsevier Science

Теглоt

450

Размери

152 x 229

Пълно описание

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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Machine Learning and Data Analysis for Energy Efficiency in Buildings

Intelligent Operation, Maintenance, and Optimization of Building Energy Systems

Информация за книгата

Пълно описание

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