• B Pathrisamma
• D Sai Prasanthi
• P Phani
• J Suresh

Every member state of the United Nations has signed on to the Sustainable Development Agenda for 2030, which lays out a plan for a better, more prosperous future. The 17 Sustainable Development Goals (SDGs) call for action from all countries, regardless of their economic status. Sustainable and inexpensive energy for everybody is the focus of this research. Power systems need to be sustainable, secure, and cost-effective while also meeting the increasing need for reliability and quality in distribution networks. The best way to handle large amounts of data stored in an IoT network is via artificial intelligence (AI). The proliferation of smart sensors and the development of lightning-fast internet have contributed to the meteoric rise in popularity of the Internet of Things (IoT). With the help of artificial intelligence and the internet of things, the globe is moving toward using renewable energy sources to power generators. For the purpose of optimizing the Internet of Things (IoT) for renewable energy management control of DC-AC microgrids with PV-Wind systems, this study suggests a new way to simulate an inverter-based microgrid utilizing an ANN and inverter control in order to achieve SDG7. The simulations are conducted using MATLAB/Simulink, and the outcomes demonstrate optimization derived from the system in terms of Vph_max, VL-L, and Vph_rms.

Artificial Intelligence (AI), Artificial Neural Network (ANN), Internet of Things (IoT), Smart Grid, Renewable Energy

"Optimization of Internet of Things (IoT) for Smart Grid Energy Management Using Artificial Intelligence (AI) Techniques to Reach SDG7 ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.i188-i196, April-2024, Available :http://www.jetir.org/papers/JETIR2404823.pdf

"Optimization of Internet of Things (IoT) for Smart Grid Energy Management Using Artificial Intelligence (AI) Techniques to Reach SDG7 ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppi188-i196, April-2024, Available at : http://www.jetir.org/papers/JETIR2404823.pdf