A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Artificial Intelligence for Equitable Practices in Energy Infrastructure: Literature Review
Artificial intelligence is rapidly expanding into energy infrastructure for its implementation in smart grid integration, energy management, and electric vehicle production. However, research indicates AI techniques are often biased against racial, gender, and socioeconomic minorities. This paper is a preliminary review of current AI techniques for predictive modeling and applications in energy engineering and construction. This work was completed through the qualitative coding of 71 publications relating to artificial intelligence, energy infrastructure, and bias. Government researchers, construction leaders, scholars, and technologists rely on AI systems daily to analyze energy consumption, enhance power distribution, and ensure safe transportation. Therefore, in order to construct an accurate and inclusive AI technology for energy infrastructure this discrimination cycle must be identified, addressed, and eliminated. The literature review examines the application of AI primarily in smart buildings, smart homes, and smart grid technology. This work highlights the insufficient attention to social and economic inequities in energy automation.
Artificial Intelligence for Equitable Practices in Energy Infrastructure: Literature Review
Artificial intelligence is rapidly expanding into energy infrastructure for its implementation in smart grid integration, energy management, and electric vehicle production. However, research indicates AI techniques are often biased against racial, gender, and socioeconomic minorities. This paper is a preliminary review of current AI techniques for predictive modeling and applications in energy engineering and construction. This work was completed through the qualitative coding of 71 publications relating to artificial intelligence, energy infrastructure, and bias. Government researchers, construction leaders, scholars, and technologists rely on AI systems daily to analyze energy consumption, enhance power distribution, and ensure safe transportation. Therefore, in order to construct an accurate and inclusive AI technology for energy infrastructure this discrimination cycle must be identified, addressed, and eliminated. The literature review examines the application of AI primarily in smart buildings, smart homes, and smart grid technology. This work highlights the insufficient attention to social and economic inequities in energy automation.
Artificial Intelligence for Equitable Practices in Energy Infrastructure: Literature Review
Ruckman, Anne (author) / Kaminsky, Jessica (author)
Construction Research Congress 2022 ; 2022 ; Arlington, Virginia
Construction Research Congress 2022 ; 244-253
2022-03-07
Conference paper
Electronic Resource
English
Reflections on crafting a policy toolkit for equitable green infrastructure
| Springer Verlag | 2021