“Timely Grid Decisions”
- May 19, 2021 9:54 pm GMT
This item is part of the Grid Modernization - May 2021 SPECIAL ISSUE, 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.
No discussions yet. Start a discussion below.
Get Published - Build a Following
The Energy Central Power Industry Network is based on one core idea - power industry professionals helping each other and advancing the industry by sharing and learning from each other.
If you have an experience or insight to share or have learned something from a conference or seminar, your peers and colleagues on Energy Central want to hear about it. It's also easy to share a link to an article you've liked or an industry resource that you think would be helpful.