Towards Net-Zero Targets

Towards Net-Zero Targets

Usage of Data Science for Long-Term Sustainability Pathways

De, Prithwis Kumar; Sharma, Neha

Springer Verlag, Singapore

09/2022

239

Dura

Inglês

9789811952432

15 a 20 dias

613

Descrição não disponível.
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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SUSTAINABLE DEVELOPMENT GOALS;PREDICTION;CLASSIFICATION;ARTIFICIAL INTELLIGENCE;MACHINE LEARNING;CARBON FOOTPRINT;GLOBAL EMISSIONS;CLIMATE RISKS;PARIS CLIMATE AGREEMENT;DATA SCIENCE;CLUSTERING;CORRELATION;ENVIRONMENT;CLIMATE CHANGE;NET-ZERO EMISSIONS;GREEN HOUSE GAS EMISSIONS;DECARBONIZATION;CARBON NEUTRAL