Smart solar power generation technology

Can machine learning improve solar power generation efficiency in a smart grid?

However, this research aims to enhance the efficiency of solar power generation systems in a smart grid context using machine learning hybrid models such as Hybrid Convolutional-Recurrence Net (HCRN), Hybrid Convolutional-LSTM Net (HCLN), and Hybrid Convolutional-GRU Net (HCGRN).

How smart solar panel technology is transforming the solar panel industry?

The increasing integration of smart solar panel technologies, including sensors and Internet of Things capabilities, is revolutionizing the solar panel industry. This integration enables superior monitoring, maintenance, and optimization of solar panel performance, leading to enhanced efficiency and effectiveness.

What is a Smart Energy System (SG)?

The SG has been identified as a potential solution in the smooth transition from traditional to modern smart energy systems (Bhattarai et al. 2022). They facilitate the integration of all forms of electricity generation across the grid coverage.

How to optimize solar energy generation?

In order to optimize solar energy generation, particular focus must be paid to both application and maintenance. IoT-based solar monitoring system proposals have been made in order to collect and analyze solar data, which will allow for performance prediction and reliable power output.

How can a smart energy grid improve energy security?

Although by incorporating sensors, analytics, and automation, these grids can manage energy demand and supply more efficiently, reducing carbon emissions, increase energy security, and improve access to electricity in remote areas.

Can artificial intelligence revolutionise solar energy management?

In this context, Artificial Intelligence (AI) in general and deep learning, in particular, emerge as a promising technology with significant potential to revolutionise solar energy management, primarily through the provision of accurate forecasts (Alam et al. 2022; Rai et al. 2021 ). In this regard, we postulate the following research questions.