학술논문

Smart Technologies for a Sustainable Future: IoT and AI in Renewable Energy
Document Type
Conference
Source
2023 IEEE 3rd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC) Applied Electromagnetics, Signal Processing, & Communication (AESPC), 2023 IEEE 3rd International Conference on. :1-6 Nov, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Signal Processing and Analysis
Renewable energy sources
Smart grids
Power system reliability
Reliability
Artificial intelligence
Sustainable development
Resilience
Hybrid Renewable Energy Systems
Smart Grid
Photovoltaic Power System
IoT Sensors
AI in Energy Management
Sustainable Development Goals
Language
Abstract
Remote regions all over the world continue to face issues with energy poverty and inadequate access to reliable power sources. This research article investigates the potential adoption of smart grid and hybrid renewable energy systems, enhanced by integrated Internet of Things and Artificial Intelligence technologies, as a transformative solution for remote locations. The article examines the process of selecting renewable energy sources, the incorporation of Internet of Things and Artificial Intelligence devices, considerations for system design, the benefits and drawbacks, and discusses case studies that demonstrate successful implementations. By delving into this intersection of renewable energy and advanced technologies, this article strives to provide insights into the potential of IoT and AI in transforming energy accessibility in remote areas. Furthermore, it has the potential to facilitate the advancement of methodologies associated with the conceptualization and implementation of sustainable energy infrastructure that exhibits both resilience and environmental compatibility.