This document has not been cited yet.

1. Achterberg, T. SCIP: Solving constraint integer programs. 2009 Math. Program. Comput.. 1 1-41
   Paper not yet in RePEc: Add citation now
   

2. Ahmed, R. ; Sreeram, V. ; Mishra, Y. ; Arif, M. A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization. 2020 Renew. Sustain. Energy Rev.. 124 -

3. Ayuso, P. ; Beltran, H. ; Segarra-Tamarit, J. ; Pérez, E. Optimized profitability of LFP and NMC Li-ion batteries in residential PV applications. 2021 Math. Comput. Simulation. 183 97-115

4. Bourbon, R. ; Ngueveu, S. ; Roboam, X. ; Sareni, B. ; Turpin, C. ; Hernandez-Torres, D. Energy management optimization of a smart wind power plant comparing heuristic and linear programming methods. 2019 Math. Comput. Simulation. 158 418-431

5. Boyd, S. ; Vandenberghe, L. Convex Optimization. 2004 Cambridge University Press:
   Paper not yet in RePEc: Add citation now
   
6. Channon, S. ; Eames, P. The cost of balancing a parabolic trough concentrated solar power plant in the spanish electricity spot markets. 2014 Sol. Energy. 110 83-95
   Paper not yet in RePEc: Add citation now
   
7. Cirocco, L.R. ; Belusko, M. ; Bruno, F. ; Boland, J. ; Pudney, P. Controlling stored energy in a concentrating solar thermal power plant to maximise revenue. 2015 IET Renew. Power Gener.. 9 379-388
   Paper not yet in RePEc: Add citation now
   
8. Cirocco, L.R. ; Belusko, M. ; Bruno, F. ; Boland, J. ; Pudney, P. Maximising revenue via optimal control of a concentrating solar thermal power plant with limited storage capacity. 2016 IET Renew. Power Gener.. 10 729-734
   Paper not yet in RePEc: Add citation now
   
9. Cojocaru, E.G. ; Bravo, J.M. ; Vasallo, M.J. ; Marín, D. A binary-regularization-based model predictive control applied to generation scheduling in concentrating solar power plants. 2020 Optim. Control Appl. Methods. 41 215-238
   Paper not yet in RePEc: Add citation now
   

10. Cojocaru, E.G. ; Bravo, J.M. ; Vasallo, M.J. ; Santos, D.M. Optimal scheduling in concentrating solar power plants oriented to low generation cycling. 2019 Renew. Energy. 135 789-799

11. de Meyer, O.A. ; Dinter, F. ; Govender, S. Optimisation in operating strategies for concentrating solar power plants. 2019 Renew. Energy Focus. 30 78-91
    Paper not yet in RePEc: Add citation now
    

12. Domínguez, R. ; Baringo, L. ; Conejo, A. Optimal offering strategy for a concentrating solar power plant. 2012 Appl. Energy. 98 316-325

13. Dowling, A.W. ; Zheng, T. ; Zavala, V.M. A decomposition algorithm for simultaneous scheduling and control of CSP systems. 2018 AIChE J.. 64 2408-2417
    Paper not yet in RePEc: Add citation now
    
14. Du, E. ; Zhang, N. ; Hodge, B. ; Wang, Q. ; Lu, Z. ; Kang, C. ; Kroposki, B. ; Xia, Q. Operation of a high renewable penetrated power system with CSP plants: A look-ahead stochastic unit commitment model. 2019 IEEE Trans. Power Syst.. 34 140-151
    Paper not yet in RePEc: Add citation now
    

15. Du, E. ; Zhang, N. ; Hodge, B.-M. ; Kang, C. ; Kroposki, B. ; Xia, Q. Economic justification of concentrating solar power in high renewable energy penetrated power systems. 2018 Appl. Energy. 222 649-661

16. Fernández, A.G. ; Gomez-Vidal, J. ; Oró, E. ; Kruizenga, A. ; Solé, A. ; Cabeza, L.F. Mainstreaming commercial CSP systems: A technology review. 2019 Renew. Energy. 140 152-176

17. Gafurov, T. ; Usaola, J. ; Prodanovic, M. Modelling of concentrating solar power plant for power system reliability studies. 2015 IET Renew. Power Gener.. 9 120-130
    Paper not yet in RePEc: Add citation now
    
18. García-Barberena, J. ; Erdocia, I. Simulation and comparison of different operational strategies for storage utilization in concentrated solar power plants. 2016 AIP Conf. Proc.. 1734 -
    Paper not yet in RePEc: Add citation now
    
19. Garcia, I.L. ; Alvarez, J.L. ; Blanco, D. Performance model for parabolic trough solar thermal power plants with thermal storage: Comparison to operating plant data. 2011 Sol. Energy. 85 2443-2460
    Paper not yet in RePEc: Add citation now
    
20. Hamilton, W. ; Husted, M. ; Newman, A. ; Braun, R. ; Wagner, M. Dispatch optimization of concentrating solar power with utility-scale photovoltaics. 2020 Opt. Eng.. 21 335-369
    Paper not yet in RePEc: Add citation now
    
21. Hastie, T. ; Tibshirani, R. ; Friedman, J. The Elements of Statistical Learning: Data Mining, Inference and Prediction. 2009 Springer:
    Paper not yet in RePEc: Add citation now
    
22. He, G. ; Chen, Q. ; Kang, C. ; Xia, Q. Optimal offering strategy for concentrating solar power plants in joint energy, reserve and regulation markets. 2016 IEEE Trans. Sustain. Energy. 7 1245-1254
    Paper not yet in RePEc: Add citation now
    
23. Institute of Solar Research of the German Aerospace Centre Green Energy System Analysis Tool (Greenius). 2021 :
    Paper not yet in RePEc: Add citation now
    
24. J. Löfberg, YALMIP : A toolbox for modeling and optimization in MATLAB, in: Proceedings of the CACSD Conference, Taipei, Taiwan, 2004.
    Paper not yet in RePEc: Add citation now
    
25. Jamaludin’, J. ; Ohmori, H. Solar parabolic trough thermal energy output forecasting based on K-Nearest Neighbors approach. 2019 IOP Conf. Ser.: Earth Environ. Sci.. 342 -
    Paper not yet in RePEc: Add citation now
    

26. Keyif, E. ; Hornung, M. ; Zhu, W. Optimal configurations and operations of concentrating solar power plants under new market trends. 2020 Appl. Energy. 270 -

27. Kost, C. ; Flath, C.M. ; Most, D. Concentrating solar power plant investment and operation decisions under different price and support mechanisms. 2013 Energy Policy. 61 238-248

28. Kraas, B. ; Schroedter-Homscheidt, M. ; Madlener, R. Economic merits of a state-of-the-art concentrating solar power forecasting system for participation in the spanish electricity market. 2013 Sol. Energy. 93 244-255
    Paper not yet in RePEc: Add citation now
    
29. Lai, C.S. ; Locatelli, G. ; Pimm, A. ; Wu, X. ; Lai, L.L. A review on long-term electrical power system modeling with energy storage. 2021 J. Cleaner Prod.. 280 -
    Paper not yet in RePEc: Add citation now
    
30. Law, E.W. ; Kay, M. ; Taylor, R.A. Calculating the financial value of a concentrated solar thermal plant operated using direct normal irradiance forecasts. 2016 Sol. Energy. 125 267-281
    Paper not yet in RePEc: Add citation now
    
31. Law, E.W. ; Kay, M. ; Taylor, R.A. Evaluating the benefits of using short-term direct normal irradiance forecasts to operate a concentrated solar thermal plant. 2016 Sol. Energy. 140 93-108
    Paper not yet in RePEc: Add citation now
    
32. Law, E.W. ; Prasad, A.A. ; Kay, M. ; Taylor, R.A. Direct normal irradiance forecasting and its application to concentrated solar thermal output forecasting — A review. 2014 Sol. Energy. 108 287-307
    Paper not yet in RePEc: Add citation now
    

33. Lopes, F.M. ; Conceição, R. ; Fasquelle, T. ; Silva, H.G. ; Salgado, R. ; Canhoto, P. ; Collares-Pereira, M. Predicted direct solar radiation (ECMWF) for optimized operational strategies of linear focus parabolic-trough systems. 2020 Renew. Energy. 151 378-391

34. Ma, L. ; Zhang, T. ; Zhang, X. ; Wang, B. ; Mei, S. ; Wang, Z. ; Xue, X. Optimization of parabolic trough solar power plant operations with nonuniform and degraded collectors. 2021 Sol. Energy. 214 551-564
    Paper not yet in RePEc: Add citation now
    
35. Madaeni, S. ; Sioshansi, R. ; Denholm, P. How thermal energy storage enhances the economic viability of concentrating solar power. 2012 Proc. IEEE. 100 335-347
    Paper not yet in RePEc: Add citation now
    

36. Mahmoudimehr, J. ; Sebghati, P. A novel multi-objective Dynamic Programming optimization method: Performance management of a solar thermal power plant as a case study. 2019 Energy. 168 796-814

37. Martinek, J. ; Jorgenson, J. ; Mehos, M. ; Denholm, P. A comparison of price-taker and production cost models for determining system value, revenue, and scheduling of concentrating solar power plants. 2018 Appl. Energy. 231 854-865

38. MATLAB Version (R2007a). 2007 The MathWorks Inc.: Natick, Massachusetts
    Paper not yet in RePEc: Add citation now
    

39. McPherson, M. ; Mehos, M. ; Denholm, P. Leveraging concentrating solar power plant dispatchability: A review of the impacts of global market structures and policy. 2020 Energy Policy. 139 -

40. Mosavi, A. ; Salimi, M. ; Faizollahzadeh Ardabili, S. ; Rabczuk, T. ; Shamshirband, S. ; Varkonyi-Koczy, A.R. State of the art of machine learning models in energy systems, a systematic review. 2019 Energies. 12 1301-

41. OMIE Operador del Mercado Ibérico de la Electricidad. 2021 :
    Paper not yet in RePEc: Add citation now
    
42. Patnode, A.M. Simulation and Performance Evaluation of Parabolic Trough Solar Power Plants. 2006 College of Engineering. University of Wisconsin-Madison: USA
    Paper not yet in RePEc: Add citation now
    
43. Petrollese, M. ; Cocco, D. ; Cau, G. ; Cogliani, E. Comparison of three different approaches for the optimization of the CSP plant scheduling. 2017 Sol. Energy. 150 463-476
    Paper not yet in RePEc: Add citation now
    

44. Pousinho, H. ; Silva, H. ; Mendes, V. ; Collares-Pereira, M. ; Cabrita, C.P. Self-scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach. 2014 Energy. 78 524-534

45. REE Red Eléctrica de España. 2021 :
    Paper not yet in RePEc: Add citation now
    

46. Royo, A. ; García, I. ; Torres, J.L. Generation of the site-adapted clearest-sky year of direct normal irradiance for solar concentrating technologies. 2018 Renew. Energy. 128 250-264

47. SAM System advisor model. 2021 :
    Paper not yet in RePEc: Add citation now
    
48. Segarra-Tamarit, J. ; Pérez, E. ; Moya, E. ; Ayuso, P. ; Beltran, H. Deep learning-based forecasting of aggregated CSP production. 2020 Math. Comput. Simulation. -
    Paper not yet in RePEc: Add citation now
    
49. Sioshansi, R. ; Denholm, P. The value of concentrating solar power and thermal energy storage. 2010 IEEE Trans. Sustain. Energy. 1 173-183
    Paper not yet in RePEc: Add citation now
    
50. STEAG Energy Services Ebsilon®professional. 2021 :
    Paper not yet in RePEc: Add citation now
    
51. Thermal Energy System Specialists, LLC Transient system simulation tool (TRNSYS). 2021 :
    Paper not yet in RePEc: Add citation now
    
52. Usaola, J. Operation of concentrating solar power plants with storage in spot electricity markets. 2012 Renew. Power Gener. IET. 6 59-66
    Paper not yet in RePEc: Add citation now
    

53. Vasallo, M.J. ; Bravo, J.M. A MPC approach for optimal generation scheduling in CSP plants. 2016 Appl. Energy. 165 357-370

54. Vasallo, M.J. ; Bravo, J.M. A novel two-model based approach for optimal scheduling in CSP plants. 2016 Sol. Energy. 126 73-92
    Paper not yet in RePEc: Add citation now
    
55. Vasallo, M.J. ; Bravo, J.M. ; Cojocaru, E.G. ; Gegúndez, M.E. Calculating the profits of an economic MPC applied to CSP plants with thermal storage system. 2017 Sol. Energy. 155 1165-1177
    Paper not yet in RePEc: Add citation now
    
56. Vilar, J.M. ; Cao, R. ; Aneiros, G. Forecasting next-day electricity demand and price using nonparametric functional methods. 2012 Int. J. Electr. Power Energy Syst.. 39 48-55
    Paper not yet in RePEc: Add citation now
    
57. Wagner, M.J. ; Hamilton, W.T. ; Newman, A. ; Dent, J. ; Diep, C. ; Braun, R. Optimizing dispatch for a concentrated solar power tower. 2018 Sol. Energy. 174 1198-1211
    Paper not yet in RePEc: Add citation now
    

58. Wagner, M.J. ; Newman, A.M. ; Hamilton, W.T. ; Braun, R.J. Optimized dispatch in a first-principles concentrating solar power production model. 2017 Appl. Energy. 203 959-971

59. Xu, T. ; Zhang, N. Coordinated operation of concentrated solar power and wind resources for the provision of energy and reserve services. 2017 IEEE Trans. Power Syst.. 32 1260-1271
    Paper not yet in RePEc: Add citation now
    
60. Yagi, K. ; Sioshansi, R. ; Denholm, P. Evaluating a concentrating solar power plant as an extended-duration peaking resource. 2019 Sol. Energy. 191 686-696
    Paper not yet in RePEc: Add citation now
    
61. Yan, H. ; Wang, A. ; Chong, D. ; Liu, M. ; Liu, J. ; Yan, J. Review on performance analysis of the power block in concentrated solar power plants. 2021 Energy Technol.. 9 -
    Paper not yet in RePEc: Add citation now
    

62. Yang, Z. ; Ce, L. ; Lian, L. Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods. 2017 Appl. Energy. 190 291-305

63. Zhao, Y. ; Liu, S. ; Lin, Z. ; Wen, F. ; Yang, L. ; Wang, Q. A mixed CVaR-based stochastic information gap approach for building optimal offering strategies of a CSP plant in electricity markets. 2020 IEEE Access. 8 85772-85783
    Paper not yet in RePEc: Add citation now
    

1. Cloud Cover Forecast Based on Correlation Analysis on Satellite Images for Short-Term Photovoltaic Power Forecasting. (2022). Son, Yongju ; Yoon, Yeunggurl ; Choi, Sungyun.
   In: Sustainability.
   RePEc:gam:jsusta:v:14:y:2022:i:8:p:4427-:d:789392.

   Full description at Econpapers || Download paper

2. Parameter Evaluation in Motion Estimation for Forecasting Multiple Photovoltaic Power Generation. (2022). Kameda, Yusuke ; Kure, Taiki ; Kondoh, Junji ; Yamamoto, Hiroki ; Tsuchiya, Haruka Danil ; Kodaira, Daisuke.
   In: Energies.
   RePEc:gam:jeners:v:15:y:2022:i:8:p:2855-:d:793339.

   Full description at Econpapers || Download paper

3. Advanced Forecasting Methods of 5-Minute Power Generation in a PV System for Microgrid Operation Control. (2022). Kapler, Piotr ; Piotrowski, Pawe ; Parol, Mirosaw ; Fetliski, Bartosz.
   In: Energies.
   RePEc:gam:jeners:v:15:y:2022:i:7:p:2645-:d:786857.

   Full description at Econpapers || Download paper

4. Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement. (2022). Ollis, Thomas B ; Ferrari, Maximiliano F ; Tomsovic, Kevin ; Liu, Guodong ; Sundararajan, Aditya.
   In: Energies.
   RePEc:gam:jeners:v:15:y:2022:i:6:p:2249-:d:774811.

   Full description at Econpapers || Download paper

5. Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction. (2022). Mayer, Martin Janos ; Markovics, David.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:161:y:2022:i:c:s136403212200274x.

   Full description at Econpapers || Download paper

6. A review of behind-the-meter solar forecasting. (2022). Doubleday, Kate ; Feng, Cong ; Erdener, Burcin Cakir ; Hodge, Bri-Mathias ; Florita, Anthony.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:160:y:2022:i:c:s1364032122001472.

   Full description at Econpapers || Download paper

7. Analysis of data errors in the solar photovoltaic monitoring system database: An overview of nationwide power plants in Korea. (2022). Cha, Suk-Won ; Choi, Jongwoo ; Lee, Il-Woo.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:156:y:2022:i:c:s1364032121012703.

   Full description at Econpapers || Download paper

8. The uncertainties involved in measuring national solar photovoltaic electricity generation. (2022). Tilley, K ; Taylor, J ; Harwood, J ; Briggs, J ; Everard, A ; Buckley, A ; Huxley, O T.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:156:y:2022:i:c:s1364032121012636.

   Full description at Econpapers || Download paper

9. A review of very short-term wind and solar power forecasting. (2022). Tawn, R ; Browell, J.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:153:y:2022:i:c:s1364032121010285.

   Full description at Econpapers || Download paper

10. Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM. (2022). Tai, Yonghang ; Huang, Xiaoqiao ; Liu, Wuming ; Shi, Junsheng ; Chen, Zaiqing.
    In: Energy.
    RePEc:eee:energy:v:246:y:2022:i:c:s0360544222003061.

    Full description at Econpapers || Download paper

11. Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach. (2022). Zeiler, Wim ; Khan, Waqas ; Walker, Shalika.
    In: Energy.
    RePEc:eee:energy:v:240:y:2022:i:c:s0360544221030619.

    Full description at Econpapers || Download paper

12. Comparative study of machine learning approaches for predicting short-term photovoltaic power output based on weather type classification. (2022). Sun, Yunlin ; Wang, Xiaoyang ; Peng, Jinqing ; Luo, Duo.
    In: Energy.
    RePEc:eee:energy:v:240:y:2022:i:c:s0360544221029820.

    Full description at Econpapers || Download paper

13. Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control. (2022). Vasquez, Juan C ; Guerrero, Josep M ; Rodriguez, Fermin ; Galarza, Ainhoa.
    In: Energy.
    RePEc:eee:energy:v:239:y:2022:i:pb:s0360544221023641.

    Full description at Econpapers || Download paper

14. Probability density forecasts for natural gas demand in China: Do mixed-frequency dynamic factors matter?. (2022). Zhao, Zhongchao ; Ding, Lili ; Wang, Lei.
    In: Applied Energy.
    RePEc:eee:appene:v:312:y:2022:i:c:s0306261922002100.

    Full description at Econpapers || Download paper

15. Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm. (2022). Li, Zhiwu ; Zhou, Yilin ; Wang, Jianzhou.
    In: Applied Energy.
    RePEc:eee:appene:v:312:y:2022:i:c:s0306261922001830.

    Full description at Econpapers || Download paper

16. An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting. (2022). Lens, Hendrik ; Mitrentsis, Georgios.
    In: Applied Energy.
    RePEc:eee:appene:v:309:y:2022:i:c:s0306261921016950.

    Full description at Econpapers || Download paper

17. Novel machine learning approach for solar photovoltaic energy output forecast using extra-terrestrial solar irradiance. (2022). Cai, Zuansi ; Fjelkestam, Cornelia A.
    In: Applied Energy.
    RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921014276.

    Full description at Econpapers || Download paper

18. Hybrid Forecasting Methodology for Wind Power-Photovoltaic-Concentrating Solar Power Generation Clustered Renewable Energy Systems. (2021). Zheng, Zixuan ; Xiao, Xianyong ; Pang, Simian ; Xu, Lanlan ; Luo, Fan.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:12:p:6681-:d:573715.

    Full description at Econpapers || Download paper

19. Comparison and Explanation of Forecasting Algorithms for Energy Time Series. (2021). Zhang, Yuyi ; Liu, Xiuxiu ; Ma, Ruimin ; Petrosian, Ovanes ; Krinkin, Kirill.
    In: Mathematics.
    RePEc:gam:jmathe:v:9:y:2021:i:21:p:2794-:d:671887.

    Full description at Econpapers || Download paper

20. Hour-Ahead Photovoltaic Output Forecasting Using Wavelet-ANFIS. (2021). Chang, Yu-Ming ; Tan, Shih-Wei ; Ouedraogo, Faouzi Brice ; Larasati, Devita Ayu ; Chen, Chao-Rong.
    In: Mathematics.
    RePEc:gam:jmathe:v:9:y:2021:i:19:p:2438-:d:648136.

    Full description at Econpapers || Download paper

21. A Probabilistic Ensemble Prediction Method for PV Power in the Nonstationary Period. (2021). An, Yuan ; Shi, Xiaoyu ; Jia, Rong ; Huang, Qiang ; Zhang, Kai ; Dang, Kaikai.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:4:p:859-:d:495015.

    Full description at Econpapers || Download paper

22. Exploitation of a New Short-Term Multimodel Photovoltaic Power Forecasting Method in the Very Short-Term Horizon to Derive a Multi-Time Scale Forecasting System. (2021). Collino, Elena ; Ronzio, Dario.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:3:p:789-:d:491908.

    Full description at Econpapers || Download paper

23. Improving Forecast Reliability for Geographically Distributed Photovoltaic Generations. (2021). Kure, Taiki ; Tsukazaki, Kazuki ; Kondoh, Junji ; Kodaira, Daisuke.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:21:p:7340-:d:672260.

    Full description at Econpapers || Download paper

24. Short-Term Deterministic Solar Irradiance Forecasting Considering a Heuristics-Based, Operational Approach. (2021). Escobar, Rodrigo ; Boland, John ; Castillejo-Cuberos, Armando.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:18:p:6005-:d:640192.

    Full description at Econpapers || Download paper

25. Prediction of Solar Power Using Near-Real Time Satellite Data. (2021). Kay, Merlinde ; Prasad, Abhnil Amtesh.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:18:p:5865-:d:636858.

    Full description at Econpapers || Download paper

26. Probabilistic Forecasting of Wind and Solar Farm Output. (2021). Farah, Sleiman ; Boland, John.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:16:p:5154-:d:618439.

    Full description at Econpapers || Download paper

27. A Comparison of the Performance of Supervised Learning Algorithms for Solar Power Prediction. (2021). Gutierrez, Leidy ; Patio, Julian ; Duque-Grisales, Eduardo.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:15:p:4424-:d:599316.

    Full description at Econpapers || Download paper

28. A Comparative Study of Machine Learning-Based Methods for Global Horizontal Irradiance Forecasting. (2021). Thil, Stephane ; Grieu, Stephane ; Gbemou, Shab ; Eynard, Julien ; Guillot, Emmanuel.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:11:p:3192-:d:565352.

    Full description at Econpapers || Download paper

29. Progress in full spectrum solar energy utilization by spectral beam splitting hybrid PV/T system. (2021). Cheng, Ziming ; Shuai, Yong ; Yang, Luwei ; Liang, Huaxu ; Tan, Heping ; Wang, Fuqiang.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:141:y:2021:i:c:s1364032121000800.

    Full description at Econpapers || Download paper

30. State-of-the-art short-term electricity market operation with solar generation: A review. (2021). Wang, Jessie ; Li, Z ; Fang, X ; Yin, S.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:138:y:2021:i:c:s136403212030931x.

    Full description at Econpapers || Download paper

31. Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks. (2021). Nwokolo, Samuel Chukwujindu ; Bailek, Nadjem ; Hassan, Muhammed A ; Bouchouicha, Kada.
    In: Renewable Energy.
    RePEc:eee:renene:v:171:y:2021:i:c:p:191-209.

    Full description at Econpapers || Download paper

32. Hybrid deep neural model for hourly solar irradiance forecasting. (2021). Huang, Xiaoqiao ; Liu, Wuming ; Zhang, Jun ; Shi, Junsheng ; Gao, Bixuan ; Chen, Zaiqing ; Tai, Yonghang.
    In: Renewable Energy.
    RePEc:eee:renene:v:171:y:2021:i:c:p:1041-1060.

    Full description at Econpapers || Download paper

33. Application of data-based solar field models to optimal generation scheduling in concentrating solar power plants. (2021). Vasallo, Manuel Jesus ; Gegundez, Manuel Emilio ; Cojocaru, Emilian Gelu ; Marin, Diego.
    In: Mathematics and Computers in Simulation (MATCOM).
    RePEc:eee:matcom:v:190:y:2021:i:c:p:1130-1149.

    Full description at Econpapers || Download paper

34. Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern. (2021). Qian, Zheng ; Pei, Yan ; Qu, Jiaqi.
    In: Energy.
    RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012445.

    Full description at Econpapers || Download paper

35. Stochastic optimization model for the short-term joint operation of photovoltaic power and hydropower plants based on chance-constrained programming. (2021). Liu, Zhe ; Wu, Zening ; Wang, Xinqi ; Yuan, Wenlin ; Cheng, Chuntian ; Su, Chengguo.
    In: Energy.
    RePEc:eee:energy:v:222:y:2021:i:c:s0360544221002450.

    Full description at Econpapers || Download paper

36. Probability density forecasts for steam coal prices in China: The role of high-frequency factors. (2021). Zhao, Zhongchao ; Han, Meng ; Ding, Lili.
    In: Energy.
    RePEc:eee:energy:v:220:y:2021:i:c:s0360544221000074.

    Full description at Econpapers || Download paper

37. Combining CFD and artificial neural network techniques to predict the thermal performance of all-glass straight evacuated tube solar collector. (2021). Lund, Peter D ; Wang, Jun ; Du, Bin.
    In: Energy.
    RePEc:eee:energy:v:220:y:2021:i:c:s0360544220328206.

    Full description at Econpapers || Download paper

38. Probabilistic real-time deep-water natural gas hydrate dispersion modeling by using a novel hybrid deep learning approach. (2021). Zhu, Yuan ; Li, Junjie ; Shi, Jihao ; Chen, Guoming ; Yang, Dongdong ; Usmani, Asif Sohail.
    In: Energy.
    RePEc:eee:energy:v:219:y:2021:i:c:s0360544220326797.

    Full description at Econpapers || Download paper

39. SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting. (2021). Korkmaz, Deniz.
    In: Applied Energy.
    RePEc:eee:appene:v:300:y:2021:i:c:s0306261921008072.

    Full description at Econpapers || Download paper

40. Adjusted combination of moving averages: A forecasting system for medium-term solar irradiance. (2021). Trapero, Juan R ; Pedregal, Diego J.
    In: Applied Energy.
    RePEc:eee:appene:v:298:y:2021:i:c:s0306261921005882.

    Full description at Econpapers || Download paper

41. Deep learning based solar radiation micro forecast by fusion of infrared cloud images and radiation data. (2021). Ajith, Meenu ; Martinez-Ramon, Manel.
    In: Applied Energy.
    RePEc:eee:appene:v:294:y:2021:i:c:s0306261921004803.

    Full description at Econpapers || Download paper

42. Lifetime improvement for wind power generation system based on optimal effectiveness of thermal management. (2021). Du, Xiong ; Zhang, Jun ; Qian, Cheng.
    In: Applied Energy.
    RePEc:eee:appene:v:286:y:2021:i:c:s0306261921000416.

    Full description at Econpapers || Download paper

43. Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour. (2021). Strauss, J M ; Rix, A J ; du Plessis, A A.
    In: Applied Energy.
    RePEc:eee:appene:v:285:y:2021:i:c:s0306261920317657.

    Full description at Econpapers || Download paper

44. Extensive comparison of physical models for photovoltaic power forecasting. (2021). Mayer, Martin Janos ; Grof, Gyula.
    In: Applied Energy.
    RePEc:eee:appene:v:283:y:2021:i:c:s0306261920316330.

    Full description at Econpapers || Download paper

45. What drives the accuracy of PV output forecasts?. (2021). Nguyen, Thi Ngoc ; Musgens, Felix.
    In: Papers.
    RePEc:arx:papers:2111.02092.

    Full description at Econpapers || Download paper

46. Combined Multi-Layer Feature Fusion and Edge Detection Method for Distributed Photovoltaic Power Station Identification. (2020). Deng, Yupeng ; Jie, Yongshi ; Zhang, YI ; Chen, Jing ; Yue, Anzhi.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:24:p:6742-:d:465673.

    Full description at Econpapers || Download paper

47. Reliability Predictors for Solar Irradiance Satellite-Based Forecast. (2020). Cros, Sylvain ; Haeffelin, Martial ; Badosa, Jordi ; Szantai, Andre.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:21:p:5566-:d:433975.

    Full description at Econpapers || Download paper

48. Impacts of Renewable Energy Resources on Effectiveness of Grid-Integrated Systems: Succinct Review of Current Challenges and Potential Solution Strategies. (2020). Tola, Vittorio ; Petrollese, Mario ; Oyekale, Joseph ; Cau, Giorgio.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:18:p:4856-:d:414596.

    Full description at Econpapers || Download paper

49. Integration of Electric Vehicles in the Distribution Network: A Review of PV Based Electric Vehicle Modelling. (2020). Lie, Tek Tjing ; Zamora, Ramon ; Mohammad, Asaad.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2020:i:17:p:4541-:d:407570.

    Full description at Econpapers || Download paper

50. Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications. (2020). Dong, Z Y ; Begum, R A ; Ker, Pin Jern ; Faisal, M ; Hannan, M A ; Zhang, C.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:131:y:2020:i:c:s1364032120303130.

    Full description at Econpapers || Download paper

Report date: 2025-10-05 16:54:35 || Missing content? Let us know