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What is EV

Machine Learning for Societal Improvement, Modernization, and Progress
- Electric Vehicle
Published in Chapter:
Machine Learning for Ecological Sustainability: An Overview of Carbon Footprint Mitigation Strategies
Vishnu S. Pendyala (San Jose State University, USA) and Saritha Podali (San Jose State University, USA)
DOI: 10.4018/978-1-6684-4045-2.ch001
Abstract
Among the most pressing issues in the world today is the impact of globalization and energy consumption on the environment. Despite the growing regulatory framework to prevent ecological degradation, sustainability continues to be a problem. Machine learning can help with the transition toward a net-zero carbon society. Substantial work has been done in this direction. Changing electrical systems, transportation, buildings, industry, and land use are all necessary to reduce greenhouse gas emissions. Considering the carbon footprint aspect of sustainability, this chapter provides a detailed overview of how machine learning can be applied to forge a path to ecological sustainability in each of these areas. The chapter highlights how various machine learning algorithms are used to increase the use of renewable energy, efficient transportation, and waste management systems to reduce the carbon footprint. The authors summarize the findings from the current research literature and conclude by providing a few future directions.
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Potential Cancer Biomarkers
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Evaluation of Make or Buy Approaches for Batteries Used in Electric Cars: A Comprehensive Make-Buy Analysis With Qualitative Factors Defending the Decision to Make Batteries
An electric vehicle, also called an EV, uses one or more electric motors or traction motors for propulsion. An electric vehicle may be powered through a collector system by electricity from off-vehicle sources, or may be self-contained with a battery, solar panels or an electric generator to convert fuel to electricity.
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