Publication Type: Edited Book
IOT SYSTEM FOR RENEWABLE ENERGY RESOURCE
Book Name: Advancing Innovation in Smart Systems, Energy, Materials, and Manufacturing: Unleashing the Potential of IoT, AI, and Edge Intelligence
Authors: Gyan Anand, Ravi Sharma, Sheersh Kumar Garg, Laxya
Keywords: IOT SYSTEM FOR RENEWABLE ENERGY RESOURCE
Area/Stream: Academic / Text Book / Interdisciplinary Engineering
Published in: IIP Series
Volume: 3, Month:October,Year:2024
Page No.: 208-234
e-ISBN: 978-93-6252-115-6
DOI/Link: https://www.doi.org/10.58532/nbennuraich12
Abstract:
Innovative technology with the ability to revolutionize the management and optimization of renewable energy. This article offers an overall view of IoT systems specifically designed for renewable energy and highlights some main attributes, components, and benefits of these systems. IoT systems for renewable consist of a variety of devices alongside automation features such as data analysis platforms, communication protocols and sensors that are used to monitor, evaluate and enhance the performance of renewable energy systems. Equipment sensors monitor the state and performance of renewable energy assets like solar panels, wind turbines, and energy storage systems whereas environmental sensors collect real-time data on parameters like solar radiation, wind velocity, temperature as well as humidity. Communications protocols such as MQTT, CoAP and LoRaWAN make it easier to transmit sensor data to edge or cloud environments. Cloud-based data analytics platform utilizes machine learning algorithms in order to analyze data, generate insights and optimize distributional efficiency while cloud storage space is used for storing files retrieved from different sources. Quick decision making; error detection; optimization of power consumption; monitoring quality—these are just a few things indicating that IoT electronic system acts really fast when dealing with information processing. For example predictive maintenance algorithms can reduce downtime by anticipating faults leading to improved maintenance scheduling.
Cite this: Gyan Anand, Ravi Sharma, Sheersh Kumar Garg, Laxya,"IOT SYSTEM FOR RENEWABLE ENERGY RESOURCE", Advancing Innovation in Smart Systems, Energy, Materials, and Manufacturing: Unleashing the Potential of IoT, AI, and Edge Intelligence,IIP Series, Volume 3, October, 2024, Page no.208-234, e-ISBN: 978-93-6252-115-6, DOI/Link: https://www.doi.org/10.58532/nbennuraich12
