“AI and Machine Learning Integration for Predictive Maintenance”
- Incorporating Artificial Intelligence (AI) and Machine Learning (ML) into Remote Monitoring and Control (RMC) systems has transformed maintenance strategies. By analyzing data from connected devices, these technologies can predict equipment failures before they happen, allowing for timely interventions. This proactive approach reduces downtime and extends asset lifespan, leading to significant cost savings. Industries such as manufacturing, utilities, and transportation are increasingly adopting these intelligent systems to enhance operational efficiency and minimize unplanned maintenance.
- For instance, In January 2025, Nuvve Holding Corp. introduced a new line of bidirectional and unidirectional chargers ranging from 20 kW to 360 kW. These chargers are designed to support electrification in school buses, commercial fleets, and microgrids. They feature enhanced integration capabilities, including Open Charge Point Protocol (OCPP), improved remote monitoring, over-the-air software updates, and a wider choice of form factors.
