In this study, we select Gansu Province as study area to (1) develop a basic approach to identifying PV solar power plants based on time-series Landsat, random forest machine learning method, and the morphological characteristics of PV; (2) generate the detailed and accurate PV maps of Gansu Province from 2015 to 2020; (3) evaluate the accuracy ...
It is worth mentioning that photovoltaic power plants have an obvious texture, geometry, spectrum, and other characteristics in remote sensing images. Therefore, it is of great significance to propose a hierarchical information extraction method for centralized photovoltaic power plants based on multi-source satellite remote sensing images.
The method firstly performs scene classification of photovoltaic panels in medium-resolution remote sensing image, and obtains the area containing photovoltaic panels or suspected photovoltaic panels, which greatly reduces the background area without photovoltaic panels and balances the number of positive and negative targets.
Timely and accurate monitoring of PV solar power plants is crucial to design, operation, and management of increasingly renewable electricity systems and assessment of the social and ecological impacts of large-scale PV deployment (Dunnett et al., 2020; Xia et al. 2022a, 2022b).
Photovoltaic (PV) power generation is an innovative technology that directly converts luminous energy into electric energy by leveraging the photoelectric effect at the semiconductor interface. This approach is considered one of the mainstream ways to utilize solar radiation .
The study area is vast and has sufficient sunlight, making it an ideal location for large-scale photovoltaic power plants. In recent years, the study area has vigorously developed the photovoltaic industry. By the end of 2021, the cumulative installed capacity of photovoltaics in the three provinces had far exceeded 10 million kilowatts [ 24 ].
In built-up areas, the construction of solar power plants is not possible and because of that, those areas were defined as one of the constraint parameters as well as the area distanced 100 m from it. The 100 m buffer around the built-up area was used to distance potential solar power plant locations from it.
In this study, we select Gansu Province as study area to (1) develop a basic approach to identifying PV solar power plants based on time-series Landsat, random forest machine learning method, and the morphological characteristics of PV; (2) generate the detailed and accurate PV maps of Gansu Province from 2015 to 2020; (3) evaluate the accuracy ...
This method is suitable for large-scale centralized photovoltaic power plants based on multi-source satellite remote sensing images. This experiment takes the three northwest provinces of China as the research area. First, a deep learning scene classification model, the EfficientNet-B5 model, is used to locate the photovoltaic power plants on ...
Monitoring of solar photovoltaic power plants is an essential task that could enable efficient operation and maintenance. Active control and regular maintenance will enhance the photovoltaic plant ...
Land survey methods implement technologies to determine optimal locations for the construction of solar photovoltaic power plants. They implement an integrated framework for land suitability assessment, which is based on a combination of GIS (geographic information system) and remote sensing (satellite imagery) techniques. The objective of this ...
Download scientific diagram | Remote monitoring of solar photovoltaic power plant. from publication: On the technologies empowering drones for intelligent monitoring of solar photovoltaic power ...
Solar power plants are systems that use solar energy to generate electricity. They can be classified into two main types: photovoltaic (PV) power plants and concentrated solar power (CSP) plants. Photovoltaic power plants convert sunlight directly into electricity using solar cells, while concentrated solar power plants use mirrors or lenses…
This method is suitable for large-scale centralized photovoltaic power plants based on multi-source satellite remote sensing images. This experiment takes the three northwest provinces of China as the research …
In PV power plants, supervisory control and data acquisition (SCADA) systems play an important role in the remote monitoring and control of field devices (sensors, smart meters, remote...
Land survey methods implement technologies to determine optimal locations for the construction of solar photovoltaic power plants. They implement an integrated framework …
Analyses of selected geomorphological, environmental, climatic, spatial, and socioeconomic parameters and the application of the analytic hierarchy process (AHP) have determined areas suitable for the exploitation of solar energy and …
The global expansion of photovoltaic (PV) power plants, especially in ecologically fragile regions like the Gobi Desert, highlights the suitability of such areas for large-scale PV development. The most direct …
Therefore, accurate and global mapping and monitoring of PV modules with remote sensing methods is important for predicting energy production potentials, revealing socio-economic drivers, supporting urban planning, and estimating ecological impacts.
Therefore, it is necessary to find a more efficient and accurate monitoring method to ensure the normal operation of PV power plants. In order to solve these problems, this paper designs a …
Remote sensing (RS), a versatile technology that captures surface information at various temporal and spatial scales, is now widely applied in different fields of the PV development.
Photovoltaic (PV) power generation is an innovative technology that directly converts luminous energy into electric energy by leveraging the photoelectric effect at the …
In 2018, solar photovoltaic (PV) technology covered 55% of the total newly installed renewable power capacity, while the capacity of large-scale PV plants grew by almost 20% in 2018 compared to the previous year (Renewable Energy Policy Network for the 21st Century, 2019). The power of a PV plant mostly depends on the solar irradiance on the …
Solar Photovoltaic Power Plant - Download as a PDF or view online for free. Submit Search. Solar Photovoltaic Power Plant • 7 likes • 4,064 views. P. Pratish Rawat Follow. This document provides an overview of solar photovoltaic power systems. It discusses key terminology related to electricity and PV systems. The document describes the main …
In this study, we select Gansu Province as study area to (1) develop a basic approach to identifying PV solar power plants based on time-series Landsat, random forest …
Therefore, it is necessary to find a more efficient and accurate monitoring method to ensure the normal operation of PV power plants. In order to solve these problems, this paper designs a PV remote monitoring system based on NB-loT and LoRa. The system adopts STM32 and LoRa as the core, and both data collection terminals and aggregation nodes ...
We applied a pixel-based random forest (RF) model to classify the PV power plants from composite images in 2020 with a 30 m spatial resolution on the Google Earth Engine (GEE). The resulting...
Analyses of selected geomorphological, environmental, climatic, spatial, and socioeconomic parameters and the application of the analytic hierarchy process (AHP) have …
Land survey methods implement technologies to determine optimal locations for the construction of solar photovoltaic power plants. They implement an integrated framework for land suitability assessment, which is based on a combination of GIS (geographic information system) and remote sensing (satellite imagery) techniques.
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