“Timely Grid Decisions”
- May 19, 2021 9:54 pm GMT
This item is part of the Special Issue - 2021-05 - Grid Modernization, click here for more
Imagine the Energy Smart Grid hardware as sentient machinery without the need for software upgrades or “fixes” once the marriage of programming and the SMART Grid is originally created, (hardware intrinsic permanent memory with the capability of reading functional history and holding present “real time” self-adjusting properties by Artificial Intelligence (AI) learning). The field of Artificial Intelligence (AI) has already worked with machinery learning in robotics with huge success. “The robot is connected to IT systems from the field of Artificial Intelligence, which can understand and interpret spoken questions people ask. Thus, operators and robots can collaborate intuitively. ...A semantic card is thus created, which grows continually thanks to machine learning.” (“SELF-LEARNING ROBOTS THANKS TO AI”; FUTURE MARKETS MAGAZINE, Festo). The challenge with hardware centric systems is finding enough memory in the system to accommodate response needs without having to perform maintenance on information overloads. Currently, particular attention is being paid to cloud operations as a way to check memory losses by free pulling accesses and to provide for faster computational growth.
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