Towards Net-Zero Targets
portes grátis
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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
