Prediction of solar energy guided by pearson correlation using machine learning

A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions

(2020) Meysam Alizamir et al.   ENERGY

Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks

(2020) Gabriel Mendonça de Paiva et al.   Energies

Artificial neural network forecast of monthly mean daily global solar radiation of selected locations based on time series and month number

(2019) Chigbogu Godwin Ozoegwu   JOURNAL OF CLEANER PRODUCTION

Automatic hourly solar forecasting using machine learning models

(2019) Gokhan Mert Yagli et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A recursive ensemble model for forecasting the power output of photovoltaic systems

(2019) Liping Liu et al.   SOLAR ENERGY

Random forest solar power forecast based on classification optimization

(2019) Da Liu et al.   ENERGY

A Seasonal Model Using Optimized Multi-Layer Neural Networks to Forecast Power Output of PV Plants

(2018) Yang Hu et al.   Energies

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

Solar photovoltaic generation forecasting methods: A review

(2018) Sobrina Sobri et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting of photovoltaic power generation and model optimization: A review

(2018) Utpal Kumar Das et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A support vector machine approach to estimate global solar radiation with the influence of fog and haze

(2018) Wanxiang Yao et al.   RENEWABLE ENERGY

Solar irradiance forecast using aerosols measurements: A data driven approach

(2018) Abdullah Alfadda et al.   SOLAR ENERGY

Dependent Evidence Combination Based on Shearman Coefficient and Pearson Coefficient

(2018) Honghui Xu et al.   IEEE Access

Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation

(2018) Ramendra Prasad et al.   APPLIED ENERGY

Investigation of the correlation of building energy use intensity estimated by six building performance simulation tools

(2017) Joon-Ho Choi   ENERGY AND BUILDINGS

A new sampling method in particle filter based on Pearson correlation coefficient

(2016) Haomiao Zhou et al.   NEUROCOMPUTING

Trends and challenges of grid-connected photovoltaic systems – A review

(2016) Manasseh Obi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Modeling and forecasting hourly global solar radiation using clustering and classification techniques

(2016) Pedro F. Jiménez-Pérez et al.   SOLAR ENERGY

On recent advances in PV output power forecast

(2016) Muhammad Qamar Raza et al.   SOLAR ENERGY

Review of photovoltaic power forecasting

(2016) J. Antonanzas et al.   SOLAR ENERGY

Solar irradiance feature extraction and support vector machines based weather status pattern recognition model for short-term photovoltaic power forecasting

(2015) Fei Wang et al.   ENERGY AND BUILDINGS

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Photovoltaic power forecasting using statistical methods: impact of weather data

(2014) Maria Grazia De Giorgi et al.   IET Science Measurement & Technology

A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects

(2014) Christian A. Gueymard   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters

(2012) Fei Wang et al.   Energies