Data-driven Analytics for Sustainable Buildings and Cities

£199.50

Data-driven Analytics for Sustainable Buildings and Cities

From Theory to Application

Architecture Energy industries and utilities Human geography Sustainability

Dinosaur mascot

Collection: Sustainable Development Goals Series

Language: English

Published by: Springer

Published on: 11th September 2021

Format: LCP-protected ePub

Size: 121 Mb

ISBN: 9789811627781


Overview

This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities.

Methods and Applications

Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment.

Target Audience

This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.

Show moreShow less