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M.Tech / M.E / PhD Thesis | Electrical & Electronics Engineering | India | Volume 9 Issue 5, May 2020
Load Prioritization with Suspicion Assessment Based Inspection [SAI] Algorithm
Abstract: Smart metering technology has been undergoing innovations nowadays. The proposed project is to design a smart meter having machine learning capabilities so as to prioritize load according to time. The system can be divided into three segments based on the operations fulfilled. Firstly, the machine learning part, deploying Suspicion Assessment Based Inspection [SAI] Algorithm, sets up the priorities of load. This can be accomplished in Python programming and can be fed to Smart Meter. The Smart Meter design in MATLAB can be considered as the second part. The output from Smart Meter containing prioritizing section including circuit breakers can be considered as the final section. There is higher as well as lower priority points that are switched on and off with different timings.
Keywords: Load Prioritization, Machine Learning, Smart Meter, Suspicion Assessment Based Algorithm SAI
Edition: Volume 9 Issue 5, May 2020,
Pages: 148 - 151
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Masters Thesis, Electrical & Electronics Engineering, Papua New Guinea, Volume 13 Issue 4, April 2024
Pages: 379 - 386Design of Microcontrollers Based Smart Battery Management System Enhancement for Off - Grid Remote Homes
Sylvester Tirones | Raj Kumar [65]
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Analysis Study Research Paper, Electrical & Electronics Engineering, India, Volume 11 Issue 5, May 2022
Pages: 1882 - 1884Automatic Load Sharing of Distribution Transformer for Over Load Protection
Nivesh Kumar K.