Towards Net-Zero targets : usage of data science for long-term sustainability pathways / Neha Sharma, Prithwis Kumar De.
Sharma, Neha, author.; De, Prithwis Kumar, author.
2023
TD885.5.C3
Available Online

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Title Towards Net-Zero targets : usage of data science for long-term sustainability pathways / Neha Sharma, Prithwis Kumar De.
Author Sharma, Neha, author.
ISBN 9789811952449 (electronic bk.)
9811952442 (electronic bk.)
9789811952432
9811952434
DOI https://doi.org/10.1007/978-981-19-5244-9
Published Singapore : Springer, [2023]
Language English
Description 1 online resource (xxiv, 239 pages) : illustrations (some color0.
Other Standard Identifiers 10.1007/978-981-19-5244-9 doi
Call Number TD885.5.C3
Dewey Decimal Classification 363.738/746
Summary This book discusses the use of technology, data science and open data to achieve the net-zero carbon emissions target set up by the Paris Agreement on climate change. There have been many discussions around sustainability and climate change solutions to mitigate the negative impact. However, using technology levers to tackle climate challenges is rarely seen as the most significant catalyst. The available research in this field is generally qualitative in nature, where technology and data have not yet been leveraged. By using AI/ML, the book predicts the climate change consequences arising due to investment in fossil fuel sectors, estimates CO2 emissions from the transport sector, forecasts average land temperature due to non-renewable sources of energy, and segments Indian states on the basis of household carbon emissions. The researchers, policymakers, students, teachers, educational institutions, governments, regulators, companies, international organizations, etc., will benefit immensely by referring to this book. Moreover, the endeavour of this book is to provide a decarbonized environment and a better tomorrow to the next generation.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 22, 2022).
Added Author De, Prithwis Kumar, author.
Series Advances in sustainability science and technology, 2662-6837
Available in Other Form Print version: 9789811952432
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Chapter 1. Climate Change and AI in the Financial, Energy, Domestic and Transport Sectors
Chapter 2. Role of Banking Sector in Climate Change : Literature Review and Data Preparation
Chapter 3. Application of Machine Learning to Predict Climate Change Consequences due to Investments by Banks in Fossil Fuel Sectors
Chapter 4. Effect of Non-Renewable Energy Sources on Climate Change in India- Literature Review and Data Preparation
Chapter 5. Using Machine Learning to Predict the Effect of Non-Renewable Energy Sources on Climate Change in India
Chapter 6. Impact of Household Emissions on Climate Change in India : Literature Review and Data Preparation
Chapter 7. Use of Unsupervised Learning Algorithms to Segment Indian States based on Primary Energy Household Emissions
Chapter 8. Application of Machine Learning in Climate Change for Transport Sector : Literature Review and Data Preparation
Chapter 9. Application of Machine Learning to Predict CO2 Emission from Transport Sector to Mitigate Climate Change
Chapter 10. Carbon Emission Calculator: Impact of AI on Climate Change.

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