Artificial Intelligence and Climate Change explores how AI technologies are transforming climate change mitigation and adaptation across key sectors. Addressing urgent sustainability challenges-from emissions reduction and renewable energy integration to water management and food system resilience-this book explains how AI supports data-driven, scalable, and efficient climate solutions. Understand how artificial intelligence accelerates renewable energy deployment and supports low-carbon energy systems Explore the role of AI in reducing emissions from energy, industry, and infrastructure through predictive analytics and optimization Gain insight into how machine learning and data analytics enhance water management and climate adaptation strategies Learn how AI-driven tools improve disaster response systems and early warning capabilities for climate-related risks See how artificial intelligence contributes to sustainable agriculture and food system resilience under changing climate conditions Familiarize yourself with AI-enabled approaches to monitor water quality, manage ecosystem health, and safeguard biodiversity Discover how AI models support climate risk assessment and scenario planning in the face of uncertainty Understand the ethical, governance, and equity issues surrounding the use of AI in climate change policy and practice This essential guide bridges artificial intelligence and climate change by providing professionals with practical knowledge on how AI enables renewable energy, emissions reduction, and water management. It equips readers with insights to navigate the intersection of technology and sustainability and supports informed decision-making for climate action.
Artificial Intelligence and Climate Change : Using AI to Support Renewable Energy, Reduce Emissions, Manage Water, Enhance Food Systems, Improve Disaster Response, and Drive Adaptation