Team proposes AI-powered approach to establishing a 'carbon-neutral energy city'

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Team proposes AI-powered approach to establishing a 'carbon-neutral energy city'

A joint research team has pioneered AI technologies aimed at achieving 'Urban Electrification' to reduce fossil fuel reliance. Their work, published in Sustainable Cities and Society, highlights the potential of integrating renewable energy sources in urban settings. This approach is gaining traction in the U.S. and Europe as a strategy for carbon neutrality.

The team developed an AI-based energy management algorithm that optimizes energy sharing and stabilizes the power grid. Demonstrations showed an 18% reduction in electricity costs and improved energy self-sufficiency rates. The findings underscore the importance of addressing Low-Probability High-Impact Events to enhance urban energy systems.

• AI algorithm reduces electricity costs by 18% in urban electrification.

• Research addresses power grid stability amid renewable energy variability.

Key AI Terms Mentioned in this Article

Urban Electrification

This concept is essential for reducing fossil fuel use and achieving carbon neutrality in cities.

Energy Management Algorithm

The algorithm developed by the research team effectively manages peak demand and enhances grid stability.

Low-Probability High-Impact Events

The research highlights their critical impact on power grid stability despite their infrequent occurrence.

Companies Mentioned in this Article

Korea Institute of Energy Research

The institute's collaboration on AI-driven urban electrification showcases its commitment to advancing energy efficiency.

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