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Smart Technologies for Energy, Environment and Sustainable Development, Vol 1

Select Proceedings of ICSTEESD 2020

Specificaties
Paperback, blz. | Engels
Springer Nature Singapore | e druk, 2023
ISBN13: 9789811668777
Rubricering
Springer Nature Singapore e druk, 2023 9789811668777
Onderdeel van serie Springer Proceedings in Energy
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book contains select proceedings of the International Conference on Smart Technologies for Energy, Environment, and Sustainable Development (ICSTEESD 2020). The book is broadly divided into the themes of energy, environment, and sustainable development; and discusses the significance and solicitations of intelligent technologies in the domain of energy and environmental systems engineering. Topics covered in this book include sustainable energy systems including renewable technologies, energy efficiency, techno-economics of energy system and policies, integrated energy system planning, environmental management, energy efficient buildings and communities, sustainable transportation, smart manufacturing processes, etc. The book will be a valuable reference for young researchers, professionals, and policy makers working in the areas of energy, environment and sustainable development.

Specificaties

ISBN13:9789811668777
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore

Inhoudsopgave

<br> Seismic Analysis of 3D Printed Structures.-&nbsp;Efficiency of linear univariate programming method in estimating the parameters reflecting the behavior of R.C.C beam along the span.-&nbsp;Effect of Creep and Shrinkage on Construction Sequence Analysis of High Rise Building.-&nbsp;Experimental Investigation of Concrete used in Spent Fuel Pools of Nuclear Power Plants Subjected to Boiling Water Exposure.-&nbsp;Effect of Aspect Ratio on Fatigue Behaviour of Steel Shear Wall.-&nbsp;Extreme rainfall analysis using Extreme Value (EV-I) distribution based on L-Moment approach.-&nbsp;Application of Machine Learning for Accuracy Improvement of Projected Precipitation of Climate Change Data with Observed Data.<br>

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        Smart Technologies for Energy, Environment and Sustainable Development, Vol 1