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Intra-hour solar irradiance forecasting using topology data analysis and physics-driven deep learning. (2024). Han, Tian ; Li, Ruimeng ; Peng, Qinke ; Wang, Nannan ; Chen, Kang ; Gao, Zhenxin.
In: Renewable Energy.
RePEc:eee:renene:v:224:y:2024:i:c:s0960148124002039.

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    RePEc:eee:renene:v:167:y:2021:i:c:p:333-342.

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  40. A regression unsupervised incremental learning algorithm for solar irradiance prediction. (2021). Rajkumar, Rajprasad Kumar ; Khan, Nafizah ; Juman, Mohammed Ayoub ; Chong, Lee Wai ; Begam, K M ; Puah, Boon Keat ; Wong, Yee Wan.
    In: Renewable Energy.
    RePEc:eee:renene:v:164:y:2021:i:c:p:908-925.

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  41. Estimation of processing time using machine learning and real factory data for optimization of parallel machine scheduling problem. (2021). Nonaka, Hirofumi ; Yamashiro, Hirochika.
    In: Operations Research Perspectives.
    RePEc:eee:oprepe:v:8:y:2021:i:c:s2214716021000178.

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  42. Deep learning-based forecasting of aggregated CSP production. (2021). Ayuso, Pablo ; Segarra-Tamarit, Jorge ; Beltran, Hector ; Moya, Eric ; Perez, Emilio.
    In: Mathematics and Computers in Simulation (MATCOM).
    RePEc:eee:matcom:v:184:y:2021:i:c:p:306-318.

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  43. Inter-Hour Forecast of Solar Radiation Based on the Structural Equation Model and Ensemble Model. (2020). Guo, Yiren ; Zhu, Tingting ; Wang, Cong ; Ni, Chao.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:17:p:4534-:d:407463.

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  44. Multiple Site Intraday Solar Irradiance Forecasting by Machine Learning Algorithms: MGGP and MLP Neural Networks. (2020). Leva, Sonia ; Pimentel, Sergio Pires ; Mussetta, Marco ; de Paiva, Gabriel Mendona ; Marra, Enes Gonalves ; Alvarenga, Bernardo Pinheiro.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:11:p:3005-:d:370022.

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  45. Prediction of offshore wind farm power using a novel two-stage model combining kernel-based nonlinear extension of the Arps decline model with a multi-objective grey wolf optimizer. (2020). Ma, Xin ; Azimi, Mohammadamin ; Huang, Kun ; Lu, Hongfang.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:127:y:2020:i:c:s1364032120301507.

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  46. Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations. (2020). Wei, Zhinong ; Sun, LI ; Liu, Ling ; Cheng, Lilin ; Zang, Haixiang.
    In: Renewable Energy.
    RePEc:eee:renene:v:160:y:2020:i:c:p:26-41.

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  47. Short term solar irradiance forecasting via a novel evolutionary multi-model framework and performance assessment for sites with no solar irradiance data. (2020). Lakhliai, Zakia ; Amouzg, Mohammed ; Marzouq, Manal ; Zenkouar, Khalid ; el Fadili, Hakim.
    In: Renewable Energy.
    RePEc:eee:renene:v:157:y:2020:i:c:p:214-231.

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  48. Photovoltaic power forecast using empirical models and artificial intelligence approaches for water pumping systems. (2020). ben Ammar, Rim ; Oualha, Abdelmajid.
    In: Renewable Energy.
    RePEc:eee:renene:v:153:y:2020:i:c:p:1016-1028.

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  49. Estimation of global solar radiation for the tropical wet climatic region of India: A theory of experimentation approach. (2020). Chakrabarti, Siddharth ; Makade, Rahul G ; Sakhale, C N ; Jamil, Basharat.
    In: Renewable Energy.
    RePEc:eee:renene:v:146:y:2020:i:c:p:2044-2059.

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  50. Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China. (2020). Zhou, Yong ; Zhu, Ying ; Wang, Yingying ; Chen, Yaowen ; Liu, Yanfeng.
    In: Renewable Energy.
    RePEc:eee:renene:v:146:y:2020:i:c:p:1101-1112.

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  51. Application of artificial neural network for predicting the dynamic performance of a free piston Stirling engine. (2020). Liu, Yingwen ; Wang, Xiaojun ; Ye, Wenlian.
    In: Energy.
    RePEc:eee:energy:v:194:y:2020:i:c:s0360544220300190.

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  52. Comparison of daily diffuse radiation models in regions of China without solar radiation measurement. (2020). Yu, Ying ; Liu, Yan ; Cao, Qimeng ; Yang, Liu.
    In: Energy.
    RePEc:eee:energy:v:191:y:2020:i:c:s0360544219322662.

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  53. Microgrid-Level Energy Management Approach Based on Short-Term Forecasting of Wind Speed and Solar Irradiance. (2019). Haider, Syed Irtaza ; Alhussein, Musaed ; Aurangzeb, Khursheed.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:8:p:1487-:d:224240.

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  54. Designing a New Data Intelligence Model for Global Solar Radiation Prediction: Application of Multivariate Modeling Scheme. (2019). Yaseen, Zaher Mundher ; Heddam, Salim ; Deo, Ravinesh ; Al-Ansari, Nadhir ; Ebtehaj, Isa ; Bonakdari, Hossein ; Tao, Hai ; Voyant, Cyril.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:7:p:1365-:d:221246.

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  55. Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction. (2019). Ghimire, Sujan ; Deo, Ravinesh C ; Raj, Nawin.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:12:p:2407-:d:242248.

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  56. Impact of DNI forecasting on CSP tower plant power production. (2019). Polo, Jesus ; Ballestrin, Jesus ; Alonso-Montesinos, J ; Batlles, F J ; Portillo, C.
    In: Renewable Energy.
    RePEc:eee:renene:v:138:y:2019:i:c:p:368-377.

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  57. Hourly PV production estimation by means of an exportable multiple linear regression model. (2019). Cortes, Marcelo ; Alonso-Montesinos, Joaquin ; del Sagrado, J ; Batlles, F J ; Portillo, Carlos ; Marzo, Aitor ; Ferrada, Pablo ; Martinez-Durban, M ; Trigo-Gonzalez, Mauricio.
    In: Renewable Energy.
    RePEc:eee:renene:v:135:y:2019:i:c:p:303-312.

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  58. Intra-hour energy potential forecasting in a central solar power plant receiver combining Meteosat images and atmospheric extinction. (2019). Ballestrin, J ; Alonso-Montesinos, J ; Lopez, G ; Batlles, F J ; Carra, E ; Monterreal, R ; Marzo, A ; Enrique, R ; Martinez-Durban, M ; Polo, J ; Fernandez-Reche, J ; Barbero, J.
    In: Energy.
    RePEc:eee:energy:v:188:y:2019:i:c:s0360544219317281.

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  59. Random forest solar power forecast based on classification optimization. (2019). Sun, Kun ; Liu, DA.
    In: Energy.
    RePEc:eee:energy:v:187:y:2019:i:c:s036054421931624x.

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  60. Day-ahead power forecasting in a large-scale photovoltaic plant based on weather classification using LSTM. (2019). Gao, Mingming ; Li, Jianjing ; Hong, Feng ; Long, Dongteng.
    In: Energy.
    RePEc:eee:energy:v:187:y:2019:i:c:s0360544219315105.

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  61. The implementation of univariable scheme-based air temperature for solar radiation prediction: New development of dynamic evolving neural-fuzzy inference system model. (2019). Yaseen, Zaher Mundher ; Heddam, Salim ; Kisi, Ozgur.
    In: Applied Energy.
    RePEc:eee:appene:v:241:y:2019:i:c:p:184-195.

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  62. Optimisation of aiming strategies in Solar Power Tower plants. (2017). Ashley, Thomas ; Fernandez-Cara, Enrique ; Carrizosa, Emilio.
    In: Energy.
    RePEc:eee:energy:v:137:y:2017:i:c:p:285-291.

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  63. Net load forecasting for high renewable energy penetration grids. (2016). Nonnenmacher, Lukas ; Kaur, Amanpreet.
    In: Energy.
    RePEc:eee:energy:v:114:y:2016:i:c:p:1073-1084.

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  64. A method for daily global solar radiation estimation from two instantaneous values using MODIS atmospheric products. (2016). Fan, Weiliang ; Li, Pingheng ; Du, Huaqiang ; Zhou, Guomo ; Mao, Fangjie ; Zhu, Dien ; Xu, Xiao Jun.
    In: Energy.
    RePEc:eee:energy:v:111:y:2016:i:c:p:117-125.

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  65. Efficient operation of energy hubs in time-of-use and dynamic pricing electricity markets. (2016). Bahrami, Shahab ; Kamyab, Farhad .
    In: Energy.
    RePEc:eee:energy:v:106:y:2016:i:c:p:343-355.

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  66. Optical qualification of a solar parabolic concentrator using photogrammetry technique. (2015). ben Nasrallah, Sassi ; Bouadila, Salwa ; Skouri, Safa ; ben Haj, Abdessalem .
    In: Energy.
    RePEc:eee:energy:v:90:y:2015:i:p1:p:403-416.

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  67. The use of a sky camera for solar radiation estimation based on digital image processing. (2015). Alonso-Montesinos, J ; Batlles, F J.
    In: Energy.
    RePEc:eee:energy:v:90:y:2015:i:p1:p:377-386.

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