AI-Driven Control and Processing System for Smart Homes with Solar Energy
Journal Title: International Journal of Innovations in Science and Technology - Year 2024, Vol 6, Issue 4
Abstract
In recent years, the utilization of solar energy has grabbed attention in the industrial and domestic zones. The existing systems to use the services of solar cells are conventional. These systems require parameters (irradiance and temperature) for desirable results that are unknown to the end user. These parameters change with regions and human to human. Therefore, an Artificially Intelligent, Control and Processing System is designed to get more accurate results with the unique feature of empowering the end user, which uses the parameters assembled on different regions. The proposed system has an improved PV model based on (ANN) that resembles experimental results with a few readily available, reprogrammable input parameters from the PV module datasheet. The developed system uses regional irradiation data which exhibits minimal fluctuations. In the model presented here; to avoid overburdening problems, loads were divided into manageable chunks MK. In this case load chunks (needed) were moved from solar to utility more stably and economically. Briefly stated the suggested solution provides a complete package for integrating solar energy systems with the grid in an automated and resilient way.
Authors and Affiliations
AI-Driven Control and Processing System for Smart Homes with Solar Energy
Gemstones Supply Chain Management throughBlockchain Mechanism
T provenance of gemstones significantly enhances their value. However, both conventional supply chain management and digital systems are susceptible to counterfeiting, loss, and theft. Blockchain has emerged as a suita...
Deep Learning Based Multi Crop Disease Detection System
This research explores the integration of deep learning, computer vision, and edge computing to revolutionize crop disease detection. In response to the pressing need for prompt and accurate disease identification, thi...
IoTin Developing the Smart Farming and Agricultural Technologies
Background: The Internet of Things (IoT) is streamlining processes in food and agriculture, especially in developing countries with agriculture-based economies. These countries stand to gain a lot from the IoT innovati...
Deep Learning Based Identification and Categorization of Various Phases of Diabetic Retinopathy
Diabetic Retinopathy is a growing disease that affects the human retina of diabetic patients, leading to loss of vision if left untreated. Early diagnosis and accurate classification of various stages of DR are crucial...
Energy-BasedCluster Head Selection in WSN
Wireless Sensor Networks (WSN) are the collection of sensor nodes, deployed in an ad hoc fashion and mostly powered by batteries. Therefore, efficient energy utilization has remained a vital parameter in designing and...