Solar radiation forecasting by pearson correlation using LSTM neural network and ANFIS method: application in the west-central Jordan
Solar energy is one of the most important renewable energies, with many advantages over
other sources. Many parameters affect the electricity generation from solar plants. This paper …
other sources. Many parameters affect the electricity generation from solar plants. This paper …
A new modified method of all-sky radiance distribution based on the principle of photothermal integration
W Yao, M Song, X Li, X Meng, Y Wang, X Kong, J Jiang - Applied Energy, 2024 - Elsevier
The development and utilization of solar energy, meteorological forecasting, and agricultural
production all require accurate predictions of radiance. However, due to the influence of …
production all require accurate predictions of radiance. However, due to the influence of …
A comprehensive analysis of clustering public utility bus passenger's behavior during the COVID-19 pandemic: Utilization of Machine Learning with metaheuristic …
Public utility bus (PUB) systems and passenger behaviors drastically changed during the
COVID-19 pandemic. This study assessed the clustered behavior of 505 PUB passengers …
COVID-19 pandemic. This study assessed the clustered behavior of 505 PUB passengers …
Determinants of cloud computing deployment in South African construction organisations using structural equation modelling and machine learning technique
Purpose This paper presents the findings from the assessment of the determinants of cloud
computing (CC) deployment by construction organisations. Using the technology …
computing (CC) deployment by construction organisations. Using the technology …
Super Typhoon Rai's Impacts on Siargao Tourism: Deciphering Tourists' Revisit Intentions through Machine-Learning Algorithms
Super Typhoon Rai damaged Siargao's tourism industry. Despite the reconstruction
projects, there was still evidence of limited resources, destructed infrastructures, and …
projects, there was still evidence of limited resources, destructed infrastructures, and …
[HTML][HTML] Modelling Photosynthetic Active Radiation (PAR) through meteorological indices under all sky conditions
A García-Rodríguez, D Granados-López… - Agricultural and Forest …, 2021 - Elsevier
In this study, ten-minute meteorological data-sets recorded at Burgos, Spain, are used to
develop models of Photosynthetic Active Radiation (PAR) following two different procedures …
develop models of Photosynthetic Active Radiation (PAR) following two different procedures …
[HTML][HTML] An all-sky luminance and radiance distribution model for built environment studies
The diffuse radiance and luminance can be anisotropic over the skydome, which is
important to the daylight and thermal environments of buildings and the urban areas. This …
important to the daylight and thermal environments of buildings and the urban areas. This …
A comparative study of machine learning methods for identifying the 15 CIE standard skies
EI Aghimien, DHW Li, EKW Tsang… - Journal of Building …, 2024 - journals.sagepub.com
For energy-efficient building designs, the solar irradiance and daylight illuminance derived
from the CIE standard skies are useful. Over time, the sky luminance distributions have been …
from the CIE standard skies are useful. Over time, the sky luminance distributions have been …
Ultraviolet Erythemal Irradiance (UVER) under Different Sky Conditions in Burgos, Spain: Multilinear Regression and Artificial Neural Network Models
S García-Rodríguez, A García-Rodríguez… - Applied Sciences, 2023 - mdpi.com
Different strategies for modeling Global Horizontal UltraViolet Erythemal irradiance
(GHUVE) based on meteorological parameters measured in Burgos (Spain) have been …
(GHUVE) based on meteorological parameters measured in Burgos (Spain) have been …
Application of artificial neural networks in horizontal luminous efficacy modeling
DHW Li, EI Aghimien, EKW Tsang - Renewable Energy, 2022 - Elsevier
Harnessing daylight for energy-efficient designs requires the availability of daylight
illuminance data. In the absence of measured daylight data, deriving daylight using the …
illuminance data. In the absence of measured daylight data, deriving daylight using the …