Predictive Maintenance Analytics Development

The contract seeks the development of advanced machine learning models and algorithms focused on anomaly detection and predictive maintenance specifically for hydroelectric equipment, leveraging both real-time operational data and historical records to improve system reliability and reduce unplanned downtime. The work involves designing, training, and validating models that can identify early signs of equipment failure, optimize maintenance schedules, and enhance overall operational efficiency within hydroelectric infrastructure. Subcontracted under the Department of the Interior's Denver Federal Center, this effort is classified under NAICS code 541690 for other scientific and technical consulting services and is open for responses until May 15, 2026. The project does not specify a set-aside type or preferred vendor category, and performance is expected to be conducted without a defined geographic location specified. All submissions must be completed before the deadline, and further details are accessible through the provided SAM.gov link.