Abstract:Global solar radiation data is essential in the design of solar energy conversion devices. The most widely used model in the estimation of the global solar radiation coming to the earth's surface is the Angtröm-Prescott model. In this model, relative sunshine duration plays an important role. In the current study, it was attempted to review different models and to determine the best performing model developed for the city of Bechar and two locations of Algerian Big South desert for solar energy projects and co… Show more
“…At the same time, personalized recommendation technology is suitable for this platform, recommending information about user preferences and specific needs to improve user experience and further promote the win-win results of agriculture and tourism markets (Ayodele et al 2016). This article focuses on planning development, professional construction level, and management of leisure agriculture, and rural tourism issues proposed corresponding measures and established Logit model to further verify leisure agriculture and rural tourism consumption and its influencing factors (Bailek et al 2020).…”
This article uses the distributed collaborative neural network process for analysis. It turns out that if there are dishonest participants, they will not get any data. The dishonest participants did not contribute to the training process throughout the training process, but they could get the training results of others. In order to understand the seasonal dynamics of soil organic carbon components and mineralization in different altitudes of alpine shrub meadows, the effects of different mountain soil carbon components on soil organic carbon mineralization were discussed, and the relationship between soil carbon components and soil physical and chemical properties was analyzed. This plays an important role in the development of dynamic changes of soil organic carbon in alpine mountain shrub meadows at different altitudes. In this study, a combination of field investigation and indoor analysis was used. By taking the soil of 3,800 m, 4000 m, and 4200 m semi-shady slope and semi-sun slope as the object of this research, it explored the different heights, seasons, and indoor cultivation conditions. The characteristics of mountain soil carbon minerals under the changing conditions of soil organic carbon pool. In this article, we take leisure agriculture and rural tourism development and management optimization as the research goal of this time, based on the sustainable development theory of leisure agriculture and rural tourism development. Using literature methods and on-site surveys, the research results of domestic and foreign scholars are collected, starting from the concept of leisure agriculture and rural tourism, and using the past experience of domestic and foreign leisure agriculture and leisure rural tourism development to analyze the current domestic and foreign leisure agriculture and the relationship between rural tourism development.
“…At the same time, personalized recommendation technology is suitable for this platform, recommending information about user preferences and specific needs to improve user experience and further promote the win-win results of agriculture and tourism markets (Ayodele et al 2016). This article focuses on planning development, professional construction level, and management of leisure agriculture, and rural tourism issues proposed corresponding measures and established Logit model to further verify leisure agriculture and rural tourism consumption and its influencing factors (Bailek et al 2020).…”
This article uses the distributed collaborative neural network process for analysis. It turns out that if there are dishonest participants, they will not get any data. The dishonest participants did not contribute to the training process throughout the training process, but they could get the training results of others. In order to understand the seasonal dynamics of soil organic carbon components and mineralization in different altitudes of alpine shrub meadows, the effects of different mountain soil carbon components on soil organic carbon mineralization were discussed, and the relationship between soil carbon components and soil physical and chemical properties was analyzed. This plays an important role in the development of dynamic changes of soil organic carbon in alpine mountain shrub meadows at different altitudes. In this study, a combination of field investigation and indoor analysis was used. By taking the soil of 3,800 m, 4000 m, and 4200 m semi-shady slope and semi-sun slope as the object of this research, it explored the different heights, seasons, and indoor cultivation conditions. The characteristics of mountain soil carbon minerals under the changing conditions of soil organic carbon pool. In this article, we take leisure agriculture and rural tourism development and management optimization as the research goal of this time, based on the sustainable development theory of leisure agriculture and rural tourism development. Using literature methods and on-site surveys, the research results of domestic and foreign scholars are collected, starting from the concept of leisure agriculture and rural tourism, and using the past experience of domestic and foreign leisure agriculture and leisure rural tourism development to analyze the current domestic and foreign leisure agriculture and the relationship between rural tourism development.
“…Also, they tend to experience frequent technical issues. Hence, direct solar radiation measurements are unavailable in many countries, especially developing ones [4,5]. Therefore, in such circumstances, the standard practice in assessing solar radiation is to use physical, empirical, or data-driven techniques, which have been established recently based on other meteorological parameters [6][7][8].…”
Solar energy represents one of the most important renewable energy sources contributing to the energy transition process. Considering that the observation of daily global solar radiation (GSR) is not affordable in some parts of the globe, there is an imperative need to develop alternative ways to predict it. Therefore, the main objective of this study is to evaluate the performance of different hybrid data-driven techniques in predicting daily GSR in semi-arid regions, such as the majority of Spanish territory. Here, four ensemble-based hybrid models were developed by hybridizing Additive Regression (AR) with Random Forest (RF), Locally Weighted Linear Regression (LWLR), Random Subspace (RS), and M5P. The base algorithms of the developed models are scarcely applied in previous studies to predict solar radiation. The testing phase outcomes demonstrated that the AR-RF models outperform all other hybrid models. The provided models were validated by statistical metrics, such as the correlation coefficient (R) and root mean square error (RMSE). The results proved that Scenario #6, utilizing extraterrestrial solar radiation, relative humidity, wind speed, and mean, maximum, and minimum ambient air temperatures as the model inputs, leads to the most accurate predictions among all scenarios (R = 0.968-0.988 and RMSE = 1.274-1.403 MJ/m 2 •d). Also, Scenario #3 stood in the next rank of accuracy for predicting the solar radiation in both validating stations. The AD-RF model was the best predictive, followed by AD-RS and AD-LWLR.
“…A common approach when starting from a clear-sky model is to calculate the physical properties of the clouds from satellite images and integrate them in the clear sky model. In this way, many of these models attempt to extend the use of measured meteorological data at a local area to a larger area or to a region scale or even to other locations on earth using different methods like regression analysis of historical measured solar irradiance either in-situ or by satellite during an adequate period of time (Paulescu and Schlett, 2003;Almorox et al, 2021;Huang et al, 2019;Arumugham and Rajendran, 2021;Bailek et al, 2020;Antonanzas-Torres et al, 2019;Berrizbeitia et al, 2020). Parametric and empirical models are also used in general purpose applications due to their mathematical simplicity and high execution speed, in addition to the number of inputs required which is relatively small.…”
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