A new low-cost internet of things-based monitoring system design for stand-alone solar photovoltaic plant and power estimation
BE Demir - Applied Sciences, 2023 - mdpi.com
The increasing demand for solar photovoltaic systems that generate electricity from sunlight
stems from their clean and renewable nature. These systems are often deployed in remote …
stems from their clean and renewable nature. These systems are often deployed in remote …
Fertiliser cost prediction in European Union farms: Machine-learning approaches through artificial neural networks
VJPD Martinho - Open Agriculture, 2023 - degruyter.com
Abstract Machine-learning methodologies are part of the artificial intelligence approaches
with several applications in different fields of science and dimensions of human life. These …
with several applications in different fields of science and dimensions of human life. These …
[PDF][PDF] General overview of artificial neural network applications in renewable energy systems
BE Yağcı, G Demirsoy, AN Akpolat - Turkish Journal of …, 2024 - researchgate.net
Energy is one of the strategic elements that ensure the continuity and development of
countries, increase their welfare, and direct national and international energy policies …
countries, increase their welfare, and direct national and international energy policies …
A New Low-Cost IoT Based Monitoring System Design for Stand-Alone Solar Photovoltaic Plant and Power Estimation
BE Demir - 2023 - preprints.org
This study presents a cost-effective IoT-based remote monitoring system for solar PV energy
systems, along with a machine learning-based PV power estimator. Remote access is …
systems, along with a machine learning-based PV power estimator. Remote access is …