UrbanAI uses ML to analyze and process urban data related to environmental and socioeconomic conditions, including energy production and utilization.Special attention is also given on urban phenomena such as heat islands and microclimatic effects.AI/ML methods and tools are applied to better understand the related governing processes assimilating:
UrbanAI aims to expand the use of renewable energy resources in urban settings. Special focus is given to the geothermal energy use for heating/cooling and electricity production. Our project will also explote the utilization of data and modeling results generated under the UIFL (Urban Integrated Field Laboratory) projects funded by the US Department of Energy (DOE). Our team is colaborating with members of the UFIL projects. We also collaborate with researches at PNNL, LANL, and other research institutions. Under this project, New Mexico State University is a subcontractor. UrbanAI work is funded by the DOE SBIR program.
UrbanAI will be deployed as a Software-as-a-Service (SaaS) on the cloud. Tiered licensing and customer support options will be available. APIs to public and proprietary datasets have been developed. UrbanAI frontend will include data management and visualization tools. The backend will provide access to cloud-computing resources for AI/ML analyses and interpretation. UrbanAI will include tools for sensitivity, uncertainty, and decision analyses. Near-real-time data assimilation and model updating will be available. Access to actionable information will be provided to the users through IoT devices and phone apps.UrbanAI prototype is available for testing and evaluation.
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