Abstract:
The advanced innovation in the power electronics system paved a numerous ways in the development and monitoring of power consumption. This helps to maintain the demand si...Show MoreMetadata
Abstract:
The advanced innovation in the power electronics system paved a numerous ways in the development and monitoring of power consumption. This helps to maintain the demand side management to adopt several measures in limiting the consumption of power. This is implemented through embedded system with artificial intelligence techniques. These systems are highly reliable and stable in performing operations. The important objective of the proposed system includes the power monitoring and controlling through embedded controllers. These systems are integrated with wireless sensor network for enabling data storage in the network with higher security concerns. The stored data are used for optimization process. This includes image processing techniques with feature extraction. The power monitoring system is implemented by automatically evaluating the environmental conditions through sensors and functions based upon the priority. They are implemented with remote monitoring and control systems with providing real time information to the user’s mobile phone. The communication network are enhanced through the internet of things. This is enhanced through priority scheduling techniques through random forest algorithm. Thus, the overall system helps in enabling optimum power consumption through machine learning.
Published in: 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
Date of Conference: 23-25 August 2023
Date Added to IEEE Xplore: 22 September 2023
ISBN Information: