A Systematic Survey on the Application of Artificial Intelligence (ai) Baseline Networks on Grid Computing Techniques – Challenges, Novelty and Prospects
Fidelis Nfwan Gonten1, Jimmy Nerat Jakawa2, Datti Useni Emmanuel3, Dakur Atiku Pandok4, Ponfa Canfa Maikano5, Goteng Kuwunidi Job6
1Fidelis Nfwan Gonten, Department of Computer Science, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
2Jimmy Nerat Jakawa, Department of Computer Science, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
3Datti Useni Emmanuel, Department of Computer Science Education, Federal College of Education, Pankshin, Nigeria.
4Dakur Atiku Pandok, Department of Computer Science, Plateau State University, Jos, Nigeria.
5Ponfa Canfa Maikano, ICT Unit, Plateau State Poltytechnic, Jos, Nigeria.
6Goteng Kuwunidi Job, Department of Computer Science, Plateau State University, Jos, Nigeria.
Manuscript received on 17 August 2024 | Revised Manuscript received on 25 August 2024 | Manuscript Accepted on 15 September 2024 | Manuscript published on 30 September 2024 | PP: 27-32 | Retrieval Number: 100.1/ijsce.D364314040924 | DOI: 10.35940/ijsce.D3643.14040924
Open Access | Editorial and Publishing Policies | Cite | Zenodo | OJS | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A smart grid is a contemporary electrical system that supports two-way communication and utilizes the concept of demand response. To increase the smart grid’s dependability and enhance the consistency, efficiency, and efficiency of the electrical supply, stability prediction is required. The true test for smart grid system designers and specialists will therefore be the increase of renewable energy. To integrate the electric utility infrastructure into the advanced communication era of today, both in terms of function and architecture, this program has made great strides toward modernizing and expanding it. The study reviews how a smart grid applied different deep learning techniques and how renewable energy can be integrated into a system where grid control is essential for energy management. The article discusses the idea of a smart grid and how reliable it is when renewable energy sources are present. Globally, a change in electric energy is needed to reduce greenhouse gas emissions, prevent global warming, reduce pollution, and boost energy security.
Keywords: Deep learning, Electricity Consumption, Power Distribution Smart Grid, etc.
Scope of the Article: Artificial Intelligence