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 comprehensive review: study of artificial intelligence optimization technique applications in a hybrid microgrid at times of fault outbreaks
The use of fossil-fueled power stations to generate electricity has had a damaging effect
over the years, necessitating the need for alternative energy sources. Microgrids consisting …
over the years, necessitating the need for alternative energy sources. Microgrids consisting …
Improving prediction of water quality indices using novel hybrid machine-learning algorithms
DT Bui, K Khosravi, J Tiefenbacher, H Nguyen… - Science of the Total …, 2020 - Elsevier
River water quality assessment is one of the most important tasks to enhance water
resources management plans. A water quality index (WQI) considers several water quality …
resources management plans. A water quality index (WQI) considers several water quality …
Forecasting of solar radiation using different machine learning approaches
V Demir, H Citakoglu - Neural Computing and Applications, 2023 - Springer
In this study, monthly solar radiation (SR) estimation was performed using five different
machine learning-based approaches. The models used are support vector machine …
machine learning-based approaches. The models used are support vector machine …
Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search
Floods are among the deadliest natural hazards for humans and the environment.
Identifying the most flood-susceptible areas is a fundamental step in the development of …
Identifying the most flood-susceptible areas is a fundamental step in the development of …
Development of a hybrid computational intelligent model for daily global solar radiation prediction
Providing an accurate and reliable solar radiation prediction is highly significant for optimal
design and management of thermal and solar photovoltaic systems. It is massively essential …
design and management of thermal and solar photovoltaic systems. It is massively essential …
Applications of various data-driven models for the prediction of groundwater quality index in the Akot basin, Maharashtra, India
A Elbeltagi, CB Pande, S Kouadri… - Environmental Science and …, 2022 - Springer
Data-driven models are important to predict groundwater quality which is controlling human
health. The water quality index (WQI) has been developed based on the physicochemical …
health. The water quality index (WQI) has been developed based on the physicochemical …
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
To model an agriculture process for any region, it is significantly essential to accurately
simulate the reference evaporation (ET o) from the available regional meteorological …
simulate the reference evaporation (ET o) from the available regional meteorological …
Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia
E Jumin, FB Basaruddin, YBM Yusoff, SD Latif… - … Science and Pollution …, 2021 - Springer
Reliable and accurate prediction model capturing the changes in solar radiation is essential
in the power generation and renewable carbon-free energy industry. Malaysia has immense …
in the power generation and renewable carbon-free energy industry. Malaysia has immense …
River water salinity prediction using hybrid machine learning models
Electrical conductivity (EC), one of the most widely used indices for water quality
assessment, has been applied to predict the salinity of the Babol-Rood River, the greatest …
assessment, has been applied to predict the salinity of the Babol-Rood River, the greatest …