Different-resolution solar radiation prediction with accompanying microclimate data and long-term monitoring experiment by LSTM, RF, and SVR: a case of campus area

Performance assessment of clear-sky solar irradiance predictions using state-of-the-art radiation models and input atmospheric data from reanalysis or ground measurements

(2023) Edgar F.M. Abreu et al.   SOLAR ENERGY

Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling

(2022) Masoud Zanganeh Kamali et al.   MARINE AND PETROLEUM GEOLOGY

Development of a hybrid computational intelligent model for daily global solar radiation prediction

(2022) Leonardo Goliatt et al.   EXPERT SYSTEMS WITH APPLICATIONS

Short term wind energy prediction model based on data decomposition and optimized LSSVM

(2022) Yagang Zhang et al.   Sustainable Energy Technologies and Assessments

Interpretable deep learning models for hourly solar radiation prediction based on graph neural network and attention

(2022) Yuan Gao et al.   APPLIED ENERGY

Prediction of the durability of high-performance concrete using an integrated RF-LSSVM model

(2022) Yang Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

Liquefaction prediction with robust machine learning algorithms (SVM, RF, and XGBoost) supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing

(2022) Selçuk Demir et al.   Environmental Earth Sciences

Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction

(2022) Sujan Ghimire et al.   MEASUREMENT

Coupling meteorological stations data and satellite data for prediction of global solar radiation with machine learning models

(2022) Shuting Zhao et al.   RENEWABLE ENERGY

Prediction of diffuse solar radiation by integrating radiative transfer model and machine-learning techniques

(2022) Yunbo Lu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

How do street trees affect urban temperatures and radiation exchange? Observations and numerical evaluation in a highly compact city

(2022) Ricard Segura et al.   Urban Climate

Assessment of predicting hourly global solar radiation in Jordan based on Rules, Trees, Meta, Lazy and Function prediction methods

(2021) Nadia Al-Rousan et al.   Sustainable Energy Technologies and Assessments

Comparison of machine learning and deep learning algorithms for hourly global/diffuse solar radiation predictions

(2021) Olusola Bamisile et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

A compound of feature selection techniques to improve solar radiation forecasting

(2021) Marco Castangia et al.   EXPERT SYSTEMS WITH APPLICATIONS

Solar Radiation Prediction Based on Convolution Neural Network and Long Short-Term Memory

(2021) Tingting Zhu et al.   Energies

Enhancing building energy efficiency using a random forest model: A hybrid prediction approach

(2021) Yang Liu et al.   Energy Reports

Effect of direct solar projected area factor on outdoor thermal comfort evaluation: A case study in Shanghai, China

(2021) Zhengrong Li et al.   Urban Climate

On the prediction of daily global solar radiation using temperature as input. An application of hybrid machine learners to the six climatic Moroccan zones

(2021) Y. El Mghouchi   Energy Conversion and Management: X

Reliable solar irradiance prediction using ensemble learning-based models: A comparative study

(2020) Junho Lee et al.   ENERGY CONVERSION AND MANAGEMENT

Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons

(2020) Zhihong Pang et al.   RENEWABLE ENERGY

2-stage modified random forest model for credit risk assessment of P2P network lending to “Three Rurals” borrowers

(2020) Congjun Rao et al.   APPLIED SOFT COMPUTING

Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea

(2019) Mohammed Alsharif et al.   Symmetry-Basel

A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest

(2019) Pin Zhang et al.   ENGINEERING GEOLOGY

Investigating the impact of feature selection on the prediction of solar radiation in different locations in Saudi Arabia

(2018) Majid Almaraashi   APPLIED SOFT COMPUTING

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Feature selection in machine learning prediction systems for renewable energy applications

(2018) S. Salcedo-Sanz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Tackling the supervised label ranking problem by bagging weak learners

(2017) Juan A. Aledo et al.   Information Fusion

Regression tree ensembles for wind energy and solar radiation prediction

(2017) Alberto Torres-Barrán et al.   NEUROCOMPUTING

Prediction of daily and mean monthly global solar radiation using support vector machine in an arid climate

(2016) S. Belaid et al.   ENERGY CONVERSION AND MANAGEMENT

Hourly Solar Irradiance Prediction Based on Support Vector Machine and Its Error Analysis

(2016) Kuk Yeol Bae et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Using measured daily meteorological parameters to predict daily solar radiation

(2015) Seyyed Mohammad Mousavi et al.   MEASUREMENT

Potential of radial basis function based support vector regression for global solar radiation prediction

(2014) Zeynab Ramedani et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Solar radiation prediction using Artificial Neural Network techniques: A review

(2013) Amit Kumar Yadav et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Review of intelligent building construction: A passive solar architecture approach

(2010) Rahul V. Ralegaonkar et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Heat transfer modelling on windows and glazing under the exposure of solar radiation

(2009) Sujoy Pal et al.   ENERGY AND BUILDINGS

Solar radiation and cooling load calculation for radiant systems: Definition and evaluation of the Direct Solar Load

(2009) Francesco Causone et al.   ENERGY AND BUILDINGS