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
Using Spatial Covariance of Geometric and Shape Based Features for Recognition of Basic and Compound Emotions
Introduction / Importance of Study: Compound emotion recognition has been an emerging area of research for the last decade due to its vast applications in surveillance systems, suspicious person detection, detection of...
A Review on Cloud Computing Threats, Securityand Possible Solutions
loud computing is increasingly popular, with major companies like Microsoft, Google, and Amazon creating expansive cloud environments to support vast user bases. Despite its benefits, security remains a significant con...
Machine Learning-Based Heart Disease Classification for Symptom-Driven Diagnostics
Heart diseases are increasing over the period while identifying cardiac diseases at an early stage continues to pose a challenge. This study focuses on the application of AI specifically in machine learning to improve...
XDP-ML: A Game-Changer in Intrusion Detection Systems for Modern Cybersecurity
Intrusion Detection system (IDS) plays a vital role in cyber security. Traditional approaches are not good enough to detect properly the large threats. Machine learning provides a promising solution and good accuracy by...
Monsoon 2022 Floods and Its Impacts on Agriculture Land Using Geospatial Approaches:A Case Study of Khyber Pakhtunkhwa Province Pakistan.
Pakistan lies among the most vulnerable countries facing severe episodes of climate change-induced hydro-climatic disasters, including heatwaves, floods, droughts, and rainfall-induced landslides. These disasters have...