Energy Data Analytics
What is energy data analysis?
Energy data analysis uses statistical software, big data and machine learning techniques to help utilities analyze all aspects of energy production and consumption. Users can forecast demand, optimize production costs in real time, improve distribution, understand consumer consumption patterns and predict future market behavior.
What are the business benefits of energy data analytics?
Utilities and their customers benefit from analyzing energy consumption data. Using data analytics software and energy dashboards, energy managers can monitor and reduce network downtime, predict real-time changes in fluctuating market demand, balance assets and monitor environmental goals. Meanwhile, energy consumers such as plant and office building managers can use energy data analytics to identify areas for potential savings, align usage with strategy and collaborate with facility management on energy use. In both cases, analyzing energy consumption data helps users solve complex problems and make better operational and financial decisions.
Literal Meanings of Energy Data Analytics
Energy:
Synonyms of Energy
action points
Data:
Meanings of Data:
(plural: data) A measure of something on a scale that both the writer (person or device) and the reader (another person or device) can understand. The scale is set arbitrarily, e.g. 1-10 times one, 1-100 times 0.1, or just true or false, on or off, yes, no or maybe, etc.
(plural: data) A fact known by direct observation.
(plural: data) the starting point from which conclusions are drawn.
(plural: dates) A fixed reference point or coordinate system.
