2019
DOI: 10.1007/s40565-019-0551-4
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Inter-hour direct normal irradiance forecast with multiple data types and time-series

Abstract: Boosted by a strong solar power market, the electricity grid is exposed to risk under an increasing share of fluctuant solar power. To increase the stability of the electricity grid, an accurate solar power forecast is needed to evaluate such fluctuations. In terms of forecast, solar irradiance is the key factor of solar power generation, which is affected by atmospheric conditions, including surface meteorological variables and column integrated variables. These variables involve multiple numerical timeseries… Show more

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Cited by 29 publications
(6 citation statements)
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“…A fuzzy controller can be implemented on any low to medium powerful microcontroller including Arduino Mega and Microchip to manipulate the output duty cycle D of the DC-DC converter depending on T and E e , which searches the MPP of the solar power system [24]. The solar power is dependent on the dynamic of solar irradiance [25]. Additionally, FLC is reconfigurable and highly flexible because it can be reprogrammable through a field-programmable gate array (FPGA) [26].…”
Section: A Flcmentioning
confidence: 99%
“…A fuzzy controller can be implemented on any low to medium powerful microcontroller including Arduino Mega and Microchip to manipulate the output duty cycle D of the DC-DC converter depending on T and E e , which searches the MPP of the solar power system [24]. The solar power is dependent on the dynamic of solar irradiance [25]. Additionally, FLC is reconfigurable and highly flexible because it can be reprogrammable through a field-programmable gate array (FPGA) [26].…”
Section: A Flcmentioning
confidence: 99%
“…As one of the main factors affecting solar irradiance, many scholars have started to model the characteristics of cloud clusters [10] and used them together with conventional meteorological information to predict photovoltaic power generation and solar irradiance. At present, the acquisition of cloud characteristics is mainly done by ground-based cloud imagery [11] and satellite cloud imagery. Ground cloud cover is a real-time picture of a cloud cluster above a measurement site, while satellite cloud cover is a picture obtained by observing Earth from a weather satellite.…”
Section: Introductionmentioning
confidence: 99%
“…The cloud thickness features extracted from satellite cloud images in [4] have been used to predict photovoltaic power generation and good results have been achieved. However, the shielding effect of clouds is not only related to the thickness of clouds but also to the type of clouds [11] .…”
Section: Introductionmentioning
confidence: 99%
“…For a long time, domestic and foreign scholars have done a lot of research on the short-term prediction of optical volt power in the direct method to solve the problems of photovoltaic grid connection to maintain the stability of the power system. Researchers have successively proposed support vector machine (SVM) (Mayer and Gróf, 2021), Markov chain (Hu and Zhang, 2018), limit learning machine (Wang, 2018), artificial neural network (ANN) (López Gómez et al, 2020), time series prediction and other methods (Zhu et al, 2019;Singh et al, 2021). Traditional ANN achieves power prediction by establishing a mapping between input data and output data, and the lack of consideration of time correlation in the data series makes it impossible for neural network models to capture the relationship between data and time, which limits its application in time series forecasting methods.…”
Section: Introductionmentioning
confidence: 99%