Proactive management of power resources: The continuous capture of all events enables users to develop trend lines and algorithms to maintain real-time illustrations of infrastructure performance and improve reliability, while automated alerting sends alarms to power managers before problems occur.
Preventive and predictive maintenance: Identifying pattern changes facilitates better planning of maintenance activities and avoid interruptions of critical business practices, while analyzing system data allows “just-in-time” maintenance procedures to be developed and implemented.
Early detection of problems: Problems can be detected before they cause damage through benchmarking that sends “alerts” when conditions begin to deteriorate. For contract negotiation, monitoring data documents power quality and demand for utilities or energy services providers.
Troubleshooting: Power monitoring instrumentation has been designed to help identify the nature and severity of power quality problems to prevent them from recurring. Automated software pinpoints the location, magnitude and duration of events to quickly remedy harmful situations.