Coupling meteorological stations data and satellite data for prediction of global solar radiation with machine learning models

Wu, Lifeng; Xiang, Youzhen; Dong, Jian; Li, Zhen; Liu, Xiaoqiang; Tang, Zijun; Wang, Han; Wang, Xin; An, Jiaqi; Zhang, Fucang; Li, Zhijun

doi:10.1016/j.renene.2022.08.111

Cited by 14 publications

(5 citation statements)

References 26 publications

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“…Figure 5 shows the modelling of TC, MRC and RC, where the values of the following were needed, (1) coil inductance, Lc, (2) coil resistance, Rc, and (3) mutual inductance, M. In this process, the solenoid coil was used, with its diameter (dc), number of turns (Nc), and length (lc) obtained through Equations ( 2) and (3). In addition, Rc was obtained using Equation ( 5) [2], [3]. The TC and RC had a distance of dtr, with the MRC positioned in the center of both coils (Figure 1).…”

Section: Modelling Of Transmitter Magnetic-relay and Receiver Coilmentioning

confidence: 99%

“…Solar radiation is a sun fusion process that produces and emits energy to the surface of the earth. This radiation is divided into two parts, namely (1) solar irradiance, the sun power density with a unit of W/m 2 , and (2) solar irradiation, the sun energy density with a unit of J/m 2 or Wh/m 2 [1][2][3]. The component of solar irradiance is very important in the conversion of sunlight to electrical energy, using a PV module [4][5][6], which has a wide global application.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Temperature and Solar Irradiance on the Performance of 50 Hz Photovoltaic Wireless Power Transfer System

et al. 2023

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A wireless power transfer (WPT) system transfers an alternating current (AC) power from a TC (transmitter coil) to a RC (receiver coil), using an electromagnetic field concept. Several previous reports on WPT systems were able to transmit this power, although their AC frequencies were high in some kilohertz or megahertz (kHz or MHz). These frequencies were unable to be applied directly on the AC loads or only administered to the direct current (DC) energy after rectification through a rectifier circuit. In the receiver phase, the AC power was also very low, due to the minimum voltage and current on the RC. Therefore, this study aims to determine the effects of temperature and solar irradiance on the performance of the 50 Hz photovoltaic wireless power transfer (PVWPT) system. This system is constructed by some PV modules in series connection, to achieve a required DC voltage level on the DC-DC converter and receiver phase. It also converts DC to AC voltages on the TC (transmitter coil) of an H-bridge inverter, with a receiver circuit and a magnetic relay coil positioned between the TC and RC (transmitter and receiver coil). The results showed that solar irradiance and temperature affected the performances of the PV module and PVWPT system. This indicated that higher solar irradiance increased the performance of the PVWPT system, whose maximum efficiency was achieved by positioning the magnetic relay coil between the TC and RC.

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Section: Modelling Of Transmitter Magnetic-relay and Receiver Coilmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Temperature and Solar Irradiance on the Performance of 50 Hz Photovoltaic Wireless Power Transfer System

et al. 2023

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“…Recent work has applied machine learning (ML) to estimate DSR and/or photosynthetically-active photon flux density (PPFD) from the observations of multiple geostationary satellites [5], [12], [13], [14], [15]. Artificial Neural Networks (ANNs), recurrent ANNs like Long Short-Term Memory (LSTM), Random Forest (RF), and deep learning approaches are often determined to have improved skill [12], [13], [16], [17], [18], [19], [20], due in part to their ability to capture nonlinear relationships amongst multiple variables.…”

Section: Introductionmentioning

confidence: 99%

High-Frequency Mapping of Downward Shortwave Radiation from GOES-R Using Gradient Boosting

Ranjbar,

Losos,

Hoffman

et al. 2024

Preprint

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This study investigates high-frequency mapping of downward shortwave radiation (DSR) at Earth's surface using the Advanced Baseline Imager (ABI) instrument mounted on Geostationary Operational Environmental Satellite -R Series (GOES-R). The existing GOES-R DSR product (DSR ABI ) offers hourly temporal resolution and spatial resolution of 0.25 o . To enhance these resolutions, we explore machine learning (ML) for DSR estimation at the native temporal resolution of GOES-R Level-2 Cloud and Moisture Imagery (CMI) product (five minutes) and its native spatial resolution of two-kilometer at nadir. We compared four common ML regression models through the Leave-One-Out Cross-Validation (LOOCV) algorithm for robust model assessment against ground measurements from AmeriFlux and SURFRAD networks. Results show that Gradient Boosting Regression (GBR) achieves the best performance (R² = 0.916, RMSE = 88.05 W m -2 ) with efficient computation compared to Long Short-Term Memory (LSTM), which exhibited similar performance. DSR estimates from the GBR model (DSR ALIVE ) outperform DSR ABI across various temporal resolutions and sky conditions. DSR ALIVE agreement with ground measurements at SURFRAD networks exhibits high accuracy at high temporal resolutions (five-minute intervals) with R² exceeding 0.85 and RMSE=122 W m -2 . We conclude that GBR offers a promising approach for high-frequency DSR mapping from GOES-R, enabling improved applications for near-real-time monitoring of terrestrial carbon and water fluxes.

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“…In order to meet the needs of effective solar radiation utilization and carrying out relevant scientific research, experts have developed many Rs simulation models. The models include empirical models [5][6][7], mechanism models [8,9], remote sensing inversion models [10], and machine learning models [11,12]. The Ångström-Prescott (A-P) model is recommended by the United Nations Food and Agriculture Organization for calculating solar radiation [13] and also widely used in the world under different climates [14].…”

Section: Introductionmentioning

confidence: 99%

Calibration of the Ångström–Prescott Model for Accurately Estimating Solar Radiation Spatial Distribution in Areas with Few Global Solar Radiation Stations: A Case Study of the China Tropical Zone

Yu,

Yi,

et al. 2023

Atmosphere

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The Ångström–Prescott formula is commonly used in climatological calculation methods of solar radiation simulation. Aiming at the characteristics of a vast area, few meteorological stations, and uneven distribution in the tropical regions of China, in order to obtain the optimal parameters of the global solar radiation calculation model, this study proposes a suitable monthly global solar radiation model based on the single-station approach and the between-groups linkage of the A–P model, which utilizes monthly measured meteorological data from 80 meteorological stations spanning the period from 1996 to 2016 in the tropical zone of China, considering the similarity in changes of monthly sunshine percentage between stations. The applicability and accuracy of the correction parameters (a and b coefficients) were tested and evaluated, and then the modified parameters were extended to conventional meteorological stations through Thiessen polygons. Finally, the spatial distribution of solar radiation in the tropical region of China was simulated by kriging, IDW, and spline interpolation techniques. The results show the following: (1) The single-station model exhibited the highest accuracy in simulating the average annual global solar radiation, followed by the model based on the between-groups linkage. After optimizing the a and b coefficients, the simulation accuracy of the average annual global solar radiation increased by 5.3%, 8.1%, and 4.4% for the whole year, dry season, and wet season, respectively. (2) Through cross-validation, the most suitable spatial interpolation methods for the whole year, dry season, and wet season in the tropical zone of China were IDW, Kriging, and Spline, respectively. This research has positive implications for improving the accuracy of solar radiation prediction and guiding regional agricultural production.

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Coupling meteorological stations data and satellite data for prediction of global solar radiation with machine learning models

Cited by 14 publications

References 26 publications

Effect of Temperature and Solar Irradiance on the Performance of 50 Hz Photovoltaic Wireless Power Transfer System

Effect of Temperature and Solar Irradiance on the Performance of 50 Hz Photovoltaic Wireless Power Transfer System

High-Frequency Mapping of Downward Shortwave Radiation from GOES-R Using Gradient Boosting

Calibration of the Ångström–Prescott Model for Accurately Estimating Solar Radiation Spatial Distribution in Areas with Few Global Solar Radiation Stations: A Case Study of the China Tropical Zone

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