标题
Deep learning models for solar irradiance forecasting: A comprehensive review
作者
关键词
Renewable energy, Solar energy, Deep learning, Forecasting, Long short term memory, Deep belief network, Echo state network
出版物
Journal of Cleaner Production
Volume 318, Issue -, Pages 128566
出版商
Elsevier BV
发表日期
2021-08-11
DOI
10.1016/j.jclepro.2021.128566
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting
- (2021) Tian Peng et al. ENERGY
- Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting
- (2021) Pratima Kumari et al. APPLIED ENERGY
- A Partially Amended Hybrid Bi-GRU—ARIMA Model (PAHM) for Predicting Solar Irradiance in Short and Very-Short Terms
- (2020) Mustafa Jaihuni et al. Energies
- Building thermal load prediction through shallow machine learning and deep learning
- (2020) Zhe Wang et al. APPLIED ENERGY
- Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea
- (2020) Jong-Min Yeom et al. Environmental Research Letters
- Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend
- (2020) Abdul Rahim Pazikadin et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Multi-Step Solar Irradiance Forecasting and Domain Adaptation of Deep Neural Networks
- (2020) Giorgio Guariso et al. Energies
- Impact of lockdown measures during COVID-19 on air quality– A case study of India
- (2020) Pratima Kumari et al. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH
- Spatio-temporal modeling with enhanced flexibility and robustness of solar irradiance prediction: A chain-structure echo state network approach
- (2020) Qian Li et al. JOURNAL OF CLEANER PRODUCTION
- Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance
- (2020) Pratima Kumari et al. JOURNAL OF CLEANER PRODUCTION
- Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons
- (2020) Zhihong Pang et al. RENEWABLE ENERGY
- Multi-reservoir echo state computing for solar irradiance prediction: A fast yet efficient deep learning approach
- (2020) Qian Li et al. APPLIED SOFT COMPUTING
- Next-Day Prediction of Hourly Solar Irradiance Using Local Weather Forecasts and LSTM Trained with Non-Local Data
- (2020) Byung-ki Jeon et al. Energies
- Probabilistic solar irradiance forecasting via a deep learning‐based hybrid approach
- (2020) Hui He et al. IEEJ Transactions on Electrical and Electronic Engineering
- A Comparison of Hour-Ahead Solar Irradiance Forecasting Models Based on LSTM Network
- (2020) Xiaoqiao Huang et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Deep learning and wavelet transform integrated approach for short-term solar PV power prediction
- (2020) Manohar Mishra et al. MEASUREMENT
- SolarGAN: Multivariate Solar Data Imputation Using Generative Adversarial Network
- (2020) Wenjie Zhang et al. IEEE Transactions on Sustainable Energy
- Impact of lockdown on air quality over major cities across the globe during COVID-19 pandemic
- (2020) Pratima Kumari et al. Urban Climate
- Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs
- (2020) Mohamed Abdel-Nasser et al. IEEE Transactions on Industrial Informatics
- 3D-CNN-based feature extraction of ground-based cloud images for direct normal irradiance prediction
- (2019) Xin Zhao et al. SOLAR ENERGY
- Solar Irradiance Forecast Using Naïve Bayes Classifier Based on Publicly Available Weather Forecasting Variables
- (2019) Youngsung Kwon et al. Energies
- Day-Ahead Solar Irradiance Forecasting for Microgrids Using a Long Short-Term Memory Recurrent Neural Network: A Deep Learning Approach
- (2019) Husein et al. Energies
- Multifactor spatio-temporal correlation model based on a combination of convolutional neural network and long short-term memory neural network for wind speed forecasting
- (2019) Yong Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process
- (2019) Jinglong Chen et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- Automatic hourly solar forecasting using machine learning models
- (2019) Gokhan Mert Yagli et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China
- (2019) Ji-Long Chen et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Clear sky solar irradiance models: A review of seventy models
- (2019) F. Antonanzas-Torres et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network
- (2019) Yongqi Liu et al. APPLIED ENERGY
- Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
- (2019) Sujan Ghimire et al. APPLIED ENERGY
- Hour-Ahead Solar Irradiance Forecasting Using Multivariate Gated Recurrent Units
- (2019) Jessica Wojtkiewicz et al. Energies
- Application of functional deep belief network for estimating daily global solar radiation: A case study in China
- (2019) Haixiang Zang et al. ENERGY
- Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study
- (2019) Muhammad Aslam et al. Energies
- Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
- (2018) Aowabin Rahman et al. APPLIED ENERGY
- Hourly Solar Radiation Forecasting Using a Volterra-Least Squares Support Vector Machine Model Combined with Signal Decomposition
- (2018) et al. Energies
- Time-Section Fusion Pattern Classification Based Day-Ahead Solar Irradiance Ensemble Forecasting Model Using Mutual Iterative Optimization
- (2018) Fei Wang et al. Energies
- Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
- (2018) Xiangyun Qing et al. ENERGY
- Random Forest based hourly building energy prediction
- (2018) Zeyu Wang et al. ENERGY AND BUILDINGS
- Data-driven Short-term Solar Irradiance Forecasting Based on Information of Neighboring Sites
- (2018) Chao Huang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Deep Learning Based Interval State Estimation of AC Smart Grids against Sparse Cyber Attacks
- (2018) Huaizhi Wang et al. IEEE Transactions on Industrial Informatics
- A deep belief network with PLSR for nonlinear system modeling
- (2018) Junfei Qiao et al. NEURAL NETWORKS
- Fine-grained attention mechanism for neural machine translation
- (2018) Heeyoul Choi et al. NEUROCOMPUTING
- Boosting image sentiment analysis with visual attention
- (2018) Kaikai Song et al. NEUROCOMPUTING
- Multimodal architecture for video captioning with memory networks and an attention mechanism
- (2018) Wei Li et al. PATTERN RECOGNITION LETTERS
- Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies
- (2018) Zhifeng Guo et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting
- (2018) Gilles Notton et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Novel short term solar irradiance forecasting models
- (2018) Emre Akarslan et al. RENEWABLE ENERGY
- A decomposition-clustering-ensemble learning approach for solar radiation forecasting
- (2018) Shaolong Sun et al. SOLAR ENERGY
- A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data
- (2018) Shikhar Srivastava et al. SOLAR ENERGY
- Short-term solar irradiance forecasting via satellite/model coupling
- (2018) Steven D. Miller et al. SOLAR ENERGY
- Solar irradiance forecast using aerosols measurements: A data driven approach
- (2018) Abdullah Alfadda et al. SOLAR ENERGY
- Spatio-temporal Graph Deep Neural Network for Short-term Wind Speed Forecasting
- (2018) Mahdi Khodayar et al. IEEE Transactions on Sustainable Energy
- Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression
- (2018) Muhammad Waseem Ahmad et al. ENERGY
- Maximization of energy absorption for a wave energy converter using the deep machine learning
- (2018) Liang Li et al. ENERGY
- Estimation of daily global solar radiation using deep learning model
- (2018) Kazım Kaba et al. ENERGY
- Multi-step ahead forecasting of daily global and direct solar radiation: A review and case study of Ghardaia region
- (2018) Mawloud Guermoui et al. JOURNAL OF CLEANER PRODUCTION
- Application of support vector machine models for forecasting solar and wind energy resources: A review
- (2018) Alireza Zendehboudi et al. JOURNAL OF CLEANER PRODUCTION
- Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data
- (2018) Jesus Lago et al. SOLAR ENERGY
- Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting
- (2018) Fei Wang et al. Applied Sciences-Basel
- A novel framework for wind speed prediction based on recurrent neural networks and support vector machine
- (2018) Chuanjin Yu et al. ENERGY CONVERSION AND MANAGEMENT
- Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
- (2018) Fei Wang et al. ENERGY CONVERSION AND MANAGEMENT
- LASSO and LSTM Integrated Temporal Model for Short-Term Solar Intensity Forecasting
- (2018) Yu Wang et al. IEEE Internet of Things Journal
- A multi-stage intelligent approach based on an ensemble of two-way interaction model for forecasting the global horizontal radiation of India
- (2017) He Jiang et al. ENERGY CONVERSION AND MANAGEMENT
- Assessing energy forecasting inaccuracy by simultaneously considering temporal and absolute errors
- (2017) Laura Frías-Paredes et al. ENERGY CONVERSION AND MANAGEMENT
- A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm
- (2017) Ibrahim Anwar Ibrahim et al. ENERGY CONVERSION AND MANAGEMENT
- Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting
- (2017) Mahdi Khodayar et al. IEEE Transactions on Industrial Informatics
- A critical review of the models used to estimate solar radiation
- (2017) Jianyuan Zhang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Error detection and accuracy estimation in automatic speech recognition using deep bidirectional recurrent neural networks
- (2017) Atsunori Ogawa et al. SPEECH COMMUNICATION
- New Temperature-based Models for Predicting Global Solar Radiation
- (2016) Gasser E. Hassan et al. APPLIED ENERGY
- Artificial neural network optimisation for monthly average daily global solar radiation prediction
- (2016) Emanuel Federico Alsina et al. ENERGY CONVERSION AND MANAGEMENT
- Estimation of hourly global solar irradiation on tilted absorbers from horizontal one using Artificial Neural Network for case study of Mashhad
- (2016) Mehdi Shaddel et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Combining solar irradiance measurements, satellite-derived data and a numerical weather prediction model to improve intra-day solar forecasting
- (2016) L. Mazorra Aguiar et al. RENEWABLE ENERGY
- A regime-dependent artificial neural network technique for short-range solar irradiance forecasting
- (2016) T.C. McCandless et al. RENEWABLE ENERGY
- Short term solar irradiance forecasting using a mixed wavelet neural network
- (2016) Vishal Sharma et al. RENEWABLE ENERGY
- Forecast for surface solar irradiance at the Brazilian Northeastern region using NWP model and artificial neural networks
- (2016) Francisco J.L. Lima et al. RENEWABLE ENERGY
- Transfer learning for short-term wind speed prediction with deep neural networks
- (2016) Qinghua Hu et al. RENEWABLE ENERGY
- Machine learning for solar irradiance forecasting of photovoltaic system
- (2016) Jiaming Li et al. RENEWABLE ENERGY
- Forecasting short-term solar irradiance based on artificial neural networks and data from neighboring meteorological stations
- (2016) Federico-Vladimir Gutierrez-Corea et al. SOLAR ENERGY
- A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance
- (2015) Zibo Dong et al. 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
- Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network
- (2015) Yushi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Increasing the temporal resolution of direct normal solar irradiance series in different climatic zones
- (2015) Carlos M. Fernández-Peruchena et al. SOLAR ENERGY
- Very short term irradiance forecasting using the lasso
- (2015) Dazhi Yang et al. SOLAR ENERGY
- Minute resolution estimates of the diffuse fraction of global irradiance for southeastern Australia
- (2015) N.A. Engerer SOLAR ENERGY
- A support vector machine–firefly algorithm-based model for global solar radiation prediction
- (2015) Lanre Olatomiwa et al. SOLAR ENERGY
- Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting
- (2015) Chun-Yang Zhang et al. IEEE Transactions on Sustainable Energy
- Analysis of daily solar power prediction with data-driven approaches
- (2014) Huan Long et al. APPLIED ENERGY
- Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model
- (2014) Kahina Dahmani et al. ENERGY
- Introducing the best model for estimation the monthly mean daily global solar radiation on a horizontal surface (Case study: Algeria)
- (2014) Mohamed Salah Mecibah et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Artificial neural network model based on interrelationship of direct, diffuse and global solar radiations
- (2014) N.D. Kaushika et al. SOLAR ENERGY
- Streamline-based method for intra-day solar forecasting through remote sensing
- (2014) Lukas Nonnenmacher et al. SOLAR ENERGY
- Solar radiation prediction using Artificial Neural Network techniques: A review
- (2013) Amit Kumar Yadav et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Accuracy analysis for fifty-four clear-sky solar radiation models using routine hourly global irradiance measurements in Romania
- (2013) Viorel Badescu et al. RENEWABLE ENERGY
- Long Term Probabilistic Load Forecasting and Normalization With Hourly Information
- (2013) Tao Hong et al. IEEE Transactions on Smart Grid
- Hourly solar irradiance time series forecasting using cloud cover index
- (2012) Dazhi Yang et al. SOLAR ENERGY
- Estimation of global solar radiation using ANN over Turkey
- (2011) Muammer Ozgoren et al. EXPERT SYSTEMS WITH APPLICATIONS
- Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed
- (2011) Chi Wai Chow et al. SOLAR ENERGY
- Clear-sky irradiance predictions for solar resource mapping and large-scale applications: Improved validation methodology and detailed performance analysis of 18 broadband radiative models
- (2011) Christian A. Gueymard SOLAR ENERGY
- Validation of short and medium term operational solar radiation forecasts in the US
- (2010) Richard Perez et al. SOLAR ENERGY
- Prediction of monthly mean daily diffuse solar radiation using artificial neural networks and comparison with other empirical models
- (2008) Yingni Jiang ENERGY POLICY
- Short-term stock price prediction based on echo state networks
- (2008) Xiaowei Lin et al. EXPERT SYSTEMS WITH APPLICATIONS
- Predicting solar radiation at high resolutions: A comparison of time series forecasts
- (2008) Gordon Reikard SOLAR ENERGY
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