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Short-Term Solar Irradiance Forecasting Using Regression Trees: A Case Study at Canberra and Northern Queensland, Australia

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Reporting of irradiance modeling relative prediction errors
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Extremely randomized trees
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Overview of Solar-Forecasting Methods and a Metric for Accuracy Evaluation
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Cross-Validation
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A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
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Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting
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Forecasting solar energy production: A comparative study of machine learning algorithms
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Enhanced performance Gaussian process regression for probabilistic short-term solar output forecast
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Machine learning methods for solar radiation forecasting: A review
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Enhanced support vector regression based forecast engine to predict solar power output
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Spatial forecasting of solar radiation using ARIMA model
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Very short-term photovoltaic power forecasting with cloud modeling: A review
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A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production, part I: Deterministic forecast of hourly production
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Short-term irradiance forecasting using skycams: Motivation and development
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A new airmass independent formulation for the Linke turbidity coefficient
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Tree-Based Forecasting of Day-Ahead Solar Power Generation from Granular Meteorological Features
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Forecasting of total daily solar energy generation using ARIMA: A case study
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Very short-term solar forecasting using fuzzy time series
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Cross-correlation based cloud motion estimation for short-term solar irradiation predictions
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An incremental extremely random forest classifier for online learning and tracking
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Hourly Solar Irradiance Forecasting Based on Machine Learning Models
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Performance Comparison of Support Vector Regression, Random Forest and Multiple Linear Regression to Forecast the Power of Photovoltaic Panels
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Cloud Motion Identification Algorithms Based on All-Sky Images to Support Solar Irradiance Forecast
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Benchmark analysis of day-ahead solar power forecasting techniques using weather predictions
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Predicting solar generation from weather forecasts using machine learning
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Forecasting of Energy Production for Photovoltaic Systems Based on ARIMA and ANN Advanced Models
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A Simple Method for the Assessment of the Cloud Cover State in High-Latitude Regions by a Ground-Based Digital Camera
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Use machine learning algorithms to predict turbine power generation to replace renewable energy with fossil fuels
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Solar PV power forecasting at Yarmouk University using machine learning techniques
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A New Approach for Short-Term Solar Radiation Forecasting Using the Estimation of Cloud Fraction and Cloud Albedo
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Machine Learning and Metaheuristic Methods for Renewable Power Forecasting: A Recent Review
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The Effect of Azimuth and Tilt Angle Changes on the Energy Balance of Photovoltaic System Installed in the Southern Slovakia Region
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Short-Term Solar Irradiance Forecasts Using Sky Images and Radiative Transfer Model
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Using Smart Persistence and Random Forests to Predict Photovoltaic Energy Production
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A Hierarchical Approach Using Machine Learning Methods in Solar Photovoltaic Energy Production Forecasting
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A Seasonal Autoregressive Integrated Moving Average with Exogenous Factors (SARIMAX) Forecasting Model-Based Time Series Approach
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Ensemble Machine-Learning Models for Accurate Prediction of Solar Irradiation in Bangladesh
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Direct Short-Term Forecast of Photovoltaic Power through a Comparative Study between COMS and Himawari-8 Meteorological Satellite Images in a Deep Neural Network
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The Ultra-Short-Term Forecasting of Global Horizonal Irradiance Based on Total Sky Images
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Daily Photovoltaic Power Generation Forecasting Model Based on Random Forest Algorithm for North China in Winter
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Solar Irradiation Forecasting Using Ensemble Voting Based on Machine Learning Algorithms
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An Adaptive Decision Tree Regression Modeling for the Output Power of Large-Scale Solar (LSS) Farm Forecasting
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Cloud classification of ground-based infrared images combining manifold and texture features
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