Powerful data management and software analytical tools, often discussed under the rubrics of "big data, deep think, the Internet of everything, or the industrial Internet," are altering the landscape of electricity infrastructure development and management. Smart Grid alone is in many ways a huge data acquisition and management program. But these powerful tools are changing the ground rules at power stations, fleet operation centers, and dispatch and grid control facilities. Some experts believe that professionals must now distinguish between the infrastructure "brain" and the "brawn" of the physical equipment. This course lays out the fundamentals of Big Data as it specifically applies to the electricity production and delivery value chain - fuel/energy sources, generating plants, transmission, distribution, and electricity demand management. [Details to follow]. Attendees will be conversant in the basic principles driving analytic software, Internet applications, cloud applications, and will ensure that attendees get beyond the buzz words to what's practical and what has real potential in the electricity industry.
This live group seminar is eligible for 11.0 CPE credits. Be aware that state boards of accountancy have final authority on the acceptance of individual courses for CPE credit. As of January 1, 2002, sponsored learning activities are measured by program length, with one 50-minute period equal to one CPE credit. One-half CPE credit increments (equal to 25 minutes) are permitted after the first credit has been earned in a given learning activity. You may want to verify that the state board from which your participants will be receiving credit accept one-half credits.
This workshop is designed for all professionals involved with electricity infrastructure, from the owner-operator firms, regulatory and government agencies, consumer and advocacy groups, equipment and system suppliers, energy traders and marketers, project developers and designers, architect engineers and construction firms, corporate planners, and executives lacking a firm grounding in digital asset intelligence as applied to electricity production and delivery, even IT professionals with gaps in the digital intelligence for asset management, and I&C/electrical engineers with gaps in their IT training and experience
This course has no prerequisites. No advance preparation is required before the seminar.
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