Machine learning technology in biodiesel research: A review
M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …
for economic and environmental considerations. However, because solar-radiation …
A novel machine learning approach for solar radiation estimation
Solar irradiation (Rs) is the electromagnetic radiation energy emitted by the Sun. It plays a
crucial role in sustaining life on Earth by providing light, heat, and energy. Furthermore, it …
crucial role in sustaining life on Earth by providing light, heat, and energy. Furthermore, it …
Solar radiation prediction using different techniques: model evaluation and comparison
Daily observations of meteorological parameters, air temperature, air pressure, relative
humidity, water vapor pressure and sunshine duration hours observed at 12 stations in …
humidity, water vapor pressure and sunshine duration hours observed at 12 stations in …
Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms
The increase in energy demand has made the renewable resources more attractive.
Representing the largest sources of renewable energy, solar and wind systems are …
Representing the largest sources of renewable energy, solar and wind systems are …
A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)
The main objective of this paper is to present Gaussian Process Regression (GPR) as a new
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …
Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation
Solar energy plays a vital role in the field of sustainable energy by providing clean, efficient
and reliable alternative source of energy. Where, the output of solar energy systems is highly …
and reliable alternative source of energy. Where, the output of solar energy systems is highly …
[HTML][HTML] Global solar radiation prediction over North Dakota using air temperature: development of novel hybrid intelligence model
Accurate solar radiation (SR) prediction is one of the essential prerequisites of harvesting
solar energy. The current study proposed a novel intelligence model through hybridization of …
solar energy. The current study proposed a novel intelligence model through hybridization of …
Potential assessment of the TVF-EMD algorithm in forecasting hourly global solar radiation: Review and case studies
Accurate and effective forecasting of short-term global solar radiation is critical for the
development of photovoltaic systems, particularly for integration into existing grid systems …
development of photovoltaic systems, particularly for integration into existing grid systems …
Artificial neural network forecast of monthly mean daily global solar radiation of selected locations based on time series and month number
CG Ozoegwu - Journal of Cleaner Production, 2019 - Elsevier
Prediction and forecast of monthly mean daily global solar energy available at selected
locations are carried out using a nonlinear autoregressive, a nonlinear autoregressive …
locations are carried out using a nonlinear autoregressive, a nonlinear autoregressive …