Related references
Note: Only part of the references are listed.Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance
Pratima Kumari et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour
A. A. du Plessis et al.
APPLIED ENERGY (2021)
High dimensional very short-term solar power forecasting based on a data-driven heuristic method
Amir Rafati et al.
ENERGY (2021)
A review and taxonomy of wind and solar energy forecasting methods based on deep learning
Ghadah Alkhayat et al.
ENERGY AND AI (2021)
Understanding solar resource variability: An in-depth analysis, using Chile as a case of study
Armando Castillejo-Cuberos et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)
A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment
Francisco J. Rodriguez-Beritez et al.
SOLAR ENERGY (2020)
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
Fei Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization
R. Ahmed et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)
Verification of deterministic solar forecasts
Dazhi Yang et al.
SOLAR ENERGY (2020)
Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing
Spyros Theocharides et al.
APPLIED ENERGY (2020)
A comprehensive review of hybrid models for solar radiation forecasting
Mawloud Guermoui et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Detection and characterization of cloud enhancement events for solar irradiance using a model-independent, statistically-driven approach
Armando Castillejo-Cuberos et al.
SOLAR ENERGY (2020)
Solar irradiance forecasting based on direct explainable neural network
Huaizhi Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques
Mengmeng Cai et al.
APPLIED ENERGY (2019)
Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
Fei Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Clear sky solar irradiance models: A review of seventy models
F. Antonanzas-Torres et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
Day-ahead spatiotemporal solar irradiation forecasting using frequency based hybrid principal component analysis and neural network
Hai Lan et al.
APPLIED ENERGY (2019)
A novel composite neural network based method for wind and solar power forecasting in microgrids
Azim Heydari et al.
APPLIED ENERGY (2019)
Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
Sujan Ghimire et al.
APPLIED ENERGY (2019)
Making reference solar forecasts with climatology, persistence, and their optimal convex combination
Dazhi Yang
SOLAR ENERGY (2019)
Operational solar forecasting for the real-time market
Dazhi Yang et al.
INTERNATIONAL JOURNAL OF FORECASTING (2019)
Solar photovoltaic generation forecasting methods: A review
Sobrina Sobri et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Data driven exploratory attacks on black box classifiers in adversarial domains
Tegjyot Singh Sethi et al.
NEUROCOMPUTING (2018)
History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining
Dazhi Yang et al.
SOLAR ENERGY (2018)
Probabilistic Forecast of PV Power Generation Based on Higher Order Markov Chain
Mohammad Javad Sanjari et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2017)
Machine learning methods for solar radiation forecasting: A review
Cyril Voyant et al.
RENEWABLE ENERGY (2017)
Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting
L. Mazorra Aguiar et al.
RENEWABLE ENERGY (2016)
Review of photovoltaic power forecasting
J. Antonanzas et al.
SOLAR ENERGY (2016)
Characterizing local high-frequency solar variability and its impact to distribution studies
Matthew Lave et al.
SOLAR ENERGY (2015)
Sensitivity of satellite-based methods for deriving solar radiation to different choice of aerosol input and models
J. Polo et al.
RENEWABLE ENERGY (2014)
Review of solar irradiance forecasting methods and a proposition for small-scale insular grids
Maimouna Diagne et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2013)
Estimation of solar radiation using a combination of Hidden Markov Model and generalized Fuzzy model
Saurabh Bhardwaj et al.
SOLAR ENERGY (2013)
Quality control of solar radiation data within the RMIB solar measurements network
Michel Journee et al.
SOLAR ENERGY (2011)
Summarizing multiple aspects of model performance in a single diagram.
KE Taylor
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2001)
On the clear sky model of the ESRA - European Solar Radiation Atlas - With respect to the Heliosat method
C Rigollier et al.
SOLAR ENERGY (2000)