State of the art of machine learning models in energy systems, a systematic review
Machine learning (ML) models have been widely used in the modeling, design and
prediction in energy systems. During the past two decades, there has been a dramatic …
prediction in energy systems. During the past two decades, there has been a dramatic …
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 …
Evaluation of temperature-based machine learning and empirical models for predicting daily global solar radiation
Y Feng, D Gong, Q Zhang, S Jiang, L Zhao… - Energy conversion and …, 2019 - Elsevier
Accurate global solar radiation data are fundamental information for the allocation and
design of solar energy systems. The current study compared different machine learning and …
design of solar energy systems. The current study compared different machine learning and …
A Review on Machine Learning Strategies for Real‐World Engineering Applications
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …
revolution. Machine learning is experiencing success in several sectors such as intelligent …
Effect of river flow on the quality of estuarine and coastal waters using machine learning models
MJ Alizadeh, MR Kavianpour, M Danesh… - Engineering …, 2018 - Taylor & Francis
This study explores the river-flow-induced impacts on the performance of machine learning
models applied for forecasting of water quality parameters in the coastal waters in Hilo Bay …
models applied for forecasting of water quality parameters in the coastal waters in Hilo Bay …
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 …
Evaluating the most significant input parameters for forecasting global solar radiation of different sequences based on Informer
C Jiang, Q Zhu - Applied Energy, 2023 - Elsevier
The number of existing global solar radiation (GSR) observation stations is limited, and it is
challenging to meet the demand for scientific research and production. Different forecasting …
challenging to meet the demand for scientific research and production. Different forecasting …
Estimation of soil temperature from meteorological data using different machine learning models
Y Feng, N Cui, W Hao, L Gao, D Gong - Geoderma, 2019 - Elsevier
Soil temperature (T s) plays a key role in physical, biological and chemical processes in
terrestrial ecosystems. Accurate estimation of T s at various soil depths is crucial for land …
terrestrial ecosystems. Accurate estimation of T s at various soil depths is crucial for land …
[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 …
Estimation of daily global solar radiation using empirical and machine-learning methods: A case study of five Moroccan locations
Reliable solar radiation data are essential to study the feasibility and to determine the
optimal size of solar plants in a particular location. However, the network of solar radiation …
optimal size of solar plants in a particular location. However, the network of solar radiation …