Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India.
The monetary gain from an advanced and intelligent electricity substructure that can manage increasing demand is known as a smart grid (SG). Being eco-conscious and conserving energy are key factors. An increase in energy consumption due to both population growth and technological advancements has created serious issues with both environmental sustainability and energy reliability. Applying AI and blockchain technologies to address issues with power control is crucial and noteworthy. Pre-processing data and smart city data with Z-Score normalisation technique to construct power-consumption smart grid. Assign Blockchain technology (a unique method of smartly and securely exchanging and storing order information using the Distributed DAA (Authentication & Authorisation) protocol at a centralized / distributed cloud platform) so as to not only ensure accuracy in data Consistency, but also maintain the confidentiality aspects for a large number of sensitive data an as the use of Distributed DAA (Authentication & Authorisation) protocol will provide confidence in grid applicants. It also combines local feature extraction and global modelling capability that produces an accurate load prediction when CSAM and MSAB are plugged into a Hybrid Attention UNet (named as CMSAMB-UNet) Maybe the smart network can retain the eventual results. An example of a successful user-to-grid communication system is blockchain-based smart energy trading, which allows for real-time demand response and the rapid balancing of electrical load and supply. Last but not least, compared to the current methods, our proposed solution works far better.
Keywords
Smart Grid, Distributed Authentication and Authorization, Channel Besides Spatial Attention Module, Multi-Head Self-Attention Block, Artificial Intelligence, Power Consumption.
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CRediT Author Statement
The authors confirm contribution to the paper as follows:
Conceptualization: Sarala P Adhau, Rajesh Kumar T, Kalpana V, Vemula jasmine Sowmya, Suguna M and Jebakumar Immanuel D;
Methodology: Sarala P Adhau, Rajesh Kumar T and Kalpana V;
Software: Vemula jasmine Sowmya, Suguna M and Jebakumar Immanuel D;
Data Curation: Sarala P Adhau, Rajesh Kumar T, Kalpana V, Vemula jasmine Sowmya, Suguna M and Jebakumar Immanuel D;
Writing- Original Draft Preparation: Vemula jasmine Sowmya, Suguna M and Jebakumar Immanuel D;
Visualization:Sarala P Adhau, Rajesh Kumar T and Kalpana V;
Investigation: Sarala P Adhau, Rajesh Kumar T, Kalpana V, Vemula jasmine Sowmya, Sugua M and Jebakumar Immanuel D;
Supervision: Sarala P Adhau, Rajesh Kumar T and Kalpana V;
Validation: Vemula jasmine Sowmya, Suguna M and Jebakumar Immanuel D;
Writing- Reviewing and Editing: Sarala P Adhau, Rajesh Kumar T, Kalpana V, Vemula jasmine Sowmya, Suguna M and Jebakumar Immanuel D; All authors reviewed the results and approved the final version of the manuscript. All authors reviewed the results and approved the final version of the manuscript.
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Rajesh Kumar T
Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India.
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Cite this article
Sarala P Adhau, Rajesh Kumar T, Kalpana V, Vemula Jasmine Sowmya, Suguna M and Jebakumar Immanuel D, “Blockchain and AI Powered Smart Grids A Secure and Efficient Energy Management Framework”, Journal of Machine and Computing, vol.5, no.3, pp. 1581-1591, July 2025, doi: 10.53759/7669/jmc202505125.
