Impact of dust accumulation on photovoltaic panels: a review paper
Photovoltaic systems (PV) have been extensively used worldwide as a reliable and effective
renewable energy resource due to their environmental and economic merits. However, PV …
renewable energy resource due to their environmental and economic merits. However, PV …
Review of regulation techniques of asphalt pavement high temperature for climate change adaptation
Asphalt pavement is vulnerable to the temperature rising and extremely high-temperature
weather caused by climate change. The regulation techniques of asphalt pavement high …
weather caused by climate change. The regulation techniques of asphalt pavement high …
Graphical decomposition model to estimate hourly global solar radiation considering weather stochasticity
Hourly solar radiation data are of great concern for solar PV, solar thermal and building
energy assessment. Unfortunately, due to economic as well as technical limitations, most …
energy assessment. Unfortunately, due to economic as well as technical limitations, most …
An innovative machine learning based on feed-forward artificial neural network and equilibrium optimization for predicting solar irradiance
As is known, having a reliable analysis of energy sources is an important task toward
sustainable development. Solar energy is one of the most advantageous types of renewable …
sustainable development. Solar energy is one of the most advantageous types of renewable …
[HTML][HTML] CAELUS: classification of sky conditions from 1-min time series of global solar irradiance using variability indices and dynamic thresholds
JA Ruiz-Arias, CA Gueymard - Solar Energy, 2023 - Elsevier
Precise sky classification as a function of cloudiness is desirable or necessary in a variety of
applications. CAELUS, a novel classification algorithm that relies on various thresholds to …
applications. CAELUS, a novel classification algorithm that relies on various thresholds to …
Interpretable deep learning framework for hourly solar radiation forecasting based on decomposing multi-scale variations
High-precision solar radiation forecasting is crucial for the economic and reliable operation
of building energy systems and contributes to achieving sustainability goals. However …
of building energy systems and contributes to achieving sustainability goals. However …
Hourly global solar radiation prediction based on seasonal and stochastic feature
Accurate and detailed solar radiation data play a crucial role in the simulation of building
thermal and photovoltaic systems. However, developing a highly precise and dependable …
thermal and photovoltaic systems. However, developing a highly precise and dependable …
Portable solar-powered dual storage integrated system: A versatile solution for emergency
C Muensuksaeng, C Harnmanasvate, J Chantana… - Solar Energy, 2022 - Elsevier
Increasing climate change-caused natural disasters calls for mobile self-powered backup
solutions for rescue and survival. However, existing portable solar systems rely on single …
solutions for rescue and survival. However, existing portable solar systems rely on single …
[HTML][HTML] Solar radiation utilization of five upland–paddy cropping systems in low-light regions promoted by diffuse radiation of paddy season
Q Liu, Z Yang, W Zhou, T Wang, Y Fu, X Yue… - Agricultural and Forest …, 2023 - Elsevier
Solar radiation affects crop productivity in farmland ecosystems. Global dimming has
resulted in decreased incident global radiation over recent decades, with a huge …
resulted in decreased incident global radiation over recent decades, with a huge …
[HTML][HTML] Determining Effective Factors Regarding Weather and Some Types of Air Pollutants in Seasonal Changes of PM10 Concentration Using Tree-Based …
Z Ebrahimi-Khusfi, M Ebrahimi-Khusfi… - Journal of …, 2024 - jehsd.ssu.ac.ir
Materials and Methods: The required data was obtained from 2018 to 2022. Levene's test
was applied to investigate the significant difference in the variance of PM 10 values in 4 …
was applied to investigate the significant difference in the variance of PM 10 values in 4 …