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power analytics
Power Analytics is a San Diego, California-based software developer specializing in the field of model-validated analytics for complex electrical power infrastructure, an emerging branch of analytics focusing on the CAD design and predictive analytics surrounding complex electric power infrastructure. Analogous to business analytics – massive mathematical models and algorithms used to predict financial behavior and potential risks – in power infrastructure model-validated analytics use the data in the original CAD model of an electrical power system to assess the impending likelihood of a short circuit, arc flash, or other power engineering problems.
Model-validated analytics can also optimize power consumption energy conservation in mission-critical facilities by ensuring – like the engine management system in an automobile engine – that every component is operating within its as-designed operating specifications. This component-by-component calibration results in what is effectively a 24/7, system-wide tune-up, that occurs every millisecond. Thus they play a vital role in help organizations minimize their carbon footprint and work toward a carbon-neutral footprint.
The trademark for "Power Analytics" was awarded to Power Analytics Corporation in 2006.
==Where model-validated analytics are used==
Model-validated analytics are used in mission-critical facilities (those requiring 99.9% uptime or better) marked by very dense electrical power usage, and where operational reliability is paramount. Facilities who are candidates for employing power analytics include transaction-intensive data centers, government and military installations, offshore oil platforms, air traffic control hubs, hospitals, casinos, and electric power generation and power transmission networks. In such facilities, electrical power problems can have very costly consequences, costing millions of dollars (U.S.) per minutes.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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