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1. A. Gil, M. De La Torre, T. Dominguez, R. Rivas, Influence of wind energy forecast in deterministic and probabilistic sizing of reserves, in: International Workshop on Large-Scale Integration of Wind Power into Power Systems as Well as on Transmission Networks for Offshore Wind Power Plants, 2010.
   Paper not yet in RePEc: Add citation now
   

2. Ahmed, Adil ; Khalid, Muhammad A review on the selected applications of forecasting models in renewable power systems. 2019 Renew. Sustain. Energy Rev.. 100 9-21

3. Ak, Ronay ; Fink, Olga ; Zio, Enrico Two machine learning approaches for short-term wind speed time-series prediction. 2015 IEEE Trans. Neural Netw. Learn. Syst.. 27 1734-1747
   Paper not yet in RePEc: Add citation now
   

4. Ali, Amad ; Shakoor, Rabia ; Raheem, Abdur ; Muqeet, Hafiz Abd ul ; Awais, Qasim ; Khan, Ashraf Ali ; Jamil, Mohsin Latest energy storage trends in multi-energy standalone electric vehicle charging stations: A comprehensive study. 2022 Energies. 15 4727-

5. Arzaghi, Ehsan ; Abaei, Mohammad Mahdi ; Abbassi, Rouzbeh ; O’Reilly, Malgorzata ; Garaniya, Vikram ; Penesis, Irene A Markovian approach to power generation capacity assessment of floating wave energy converters. 2020 Renew. Energy. 146 2736-2743

6. Belaid, Sabrina ; Mellit, Adel ; Boualit, Hamid ; Zaiani, Mohamed Hourly global solar forecasting models based on a supervised machine learning algorithm and time series principle. 2020 Int. J. Ambient Energy. 1-12
   Paper not yet in RePEc: Add citation now
   
7. Bellman, Richard ; Kalaba, Robert Dynamic programming and statistical communication theory. 1957 Proc. Natl. Acad. Sci. USA. 43 749-
   Paper not yet in RePEc: Add citation now
   
8. Bennett, Casey C. ; Hauser, Kris Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach. 2013 Artif. Intell. Med.. 57 9-19
   Paper not yet in RePEc: Add citation now
   
9. Birkl, Christoph R. ; Roberts, Matthew R. ; McTurk, Euan ; Bruce, Peter G. ; Howey, David A. Degradation diagnostics for lithium ion cells. 2017 J. Power Sources. 341 373-386
   Paper not yet in RePEc: Add citation now
   

10. Boute, Anatole Off-grid renewable energy in remote Arctic areas: An analysis of the Russian far east. 2016 Renew. Sustain. Energy Rev.. 59 1029-1037

11. Cavagnaro, Robert J. ; Copping, Andrea ; Green, Rebecca ; Greene, David ; Jenne, Scott ; Rose, Debbie ; Overhus, Dorian Powering the blue economy: Progress exploring marine renewable energy integration with ocean observations. 2020 Mar. Technol. Soc.. -
    Paper not yet in RePEc: Add citation now
    

12. Chauhan, Anurag ; Saini, R.P. Renewable energy based off-grid rural electrification in uttarakhand state of India: Technology options, modelling method, barriers and recommendations. 2015 Renew. Sustain. Energy Rev.. 51 662-681

13. Chen, Changsong ; Duan, Shanxu ; Cai, Tao ; Liu, Bangyin Online 24-h solar power forecasting based on weather type classification using artificial neural network. 2011 Solar Energy. 85 2856-2870
    Paper not yet in RePEc: Add citation now
    
14. Cheung, Kwok Fai Simulating WAves Nearshore (SWAN) regional wave model: Oahu. 2010 :
    Paper not yet in RePEc: Add citation now
    
15. Clemente, Daniel ; Rosa-Santos, P. ; Taveira-Pinto, F. On the potential synergies and applications of wave energy converters: A review. 2021 Renew. Sustain. Energy Rev.. 135 -
    Paper not yet in RePEc: Add citation now
    
16. Copping, Andrea ; LiVecchi, Al ; Spence, Heather ; Gorton, Alicia ; Jenne, Scott ; Preus, Robert ; Gill, Gary ; Robichaud, Robi ; Gore, Simon Maritime renewable energy markets: Power from the sea. 2018 Mar. Technol. Soc. J.. 52 99-109
    Paper not yet in RePEc: Add citation now
    

17. Cornejo-Bueno, L. ; Nieto-Borge, J.C. ; García-Díaz, P. ; Rodríguez, G. ; Salcedo-Sanz, S. Significant wave height and energy flux prediction for marine energy applications: A grouping genetic algorithm–Extreme learning machine approach. 2016 Renew. Energy. 97 380-389

18. de Nie, Ruben ; Leontaris, Georgios ; Hoogendoorn, Don ; Wolfert, A.R.M. (Rogier) Offshore infrastructure planning using a vine copula approach for environmental conditions: An application for replacement maintenance of tidal energy infrastructure. 2019 Struct. Infrastruct. Eng.. 15 600-617
    Paper not yet in RePEc: Add citation now
    
19. DeVisser, A. ; Cable, B. ; Vega, L. Wave energy test site (WETS) marine corps base Hawaii. 2013 Energy Ocean Int., June. -
    Paper not yet in RePEc: Add citation now
    
20. Dillon, Trent ; Maurer, Benjamin ; Lawson, Michael ; Jenne, Dale Scott ; Manalang, Dana ; Baca, Elena ; Polagye, Brian Cost-optimal wave-powered persistent oceanographic observation. 2021 Renew. Energy. -
    Paper not yet in RePEc: Add citation now
    
21. Exizidis, Lazaros ; Kazempour, Jalal ; Pinson, Pierre ; De Grève, Zacharie ; Vallée, François Impact of public aggregate wind forecasts on electricity market outcomes. 2017 IEEE Trans. Sustain. Energy. 8 1394-1405
    Paper not yet in RePEc: Add citation now
    
22. Feng, Xuning ; Ouyang, Minggao ; Liu, Xiang ; Lu, Languang ; Xia, Yong ; He, Xiangming Thermal runaway mechanism of lithium ion battery for electric vehicles: A review. 2018 Energy Storage Mater.. 10 246-267
    Paper not yet in RePEc: Add citation now
    
23. Fernández, Juan Carlos ; Salcedo-Sanz, Sancho ; Gutiérrez, Pedro Antonio ; Alexandre, Enrique ; Hervás-Martínez, César Significant wave height and energy flux range forecast with machine learning classifiers. 2015 Eng. Appl. Artif. Intell.. 43 44-53
    Paper not yet in RePEc: Add citation now
    
24. Gu, Wei ; Wang, Zhihe ; Wu, Zhi ; Luo, Zhao ; Tang, Yiyuan ; Wang, Jun An online optimal dispatch schedule for CCHP microgrids based on model predictive control. 2016 IEEE Trans. Smart Grid. 8 2332-2342
    Paper not yet in RePEc: Add citation now
    

25. Gunn, Kester ; Stock-Williams, Clym Quantifying the global wave power resource. 2012 Renew. Energy. 44 296-304

26. Haque, Ashraf Ul ; Nehrir, M. Hashem ; Mandal, Paras A hybrid intelligent model for deterministic and quantile regression approach for probabilistic wind power forecasting. 2014 IEEE Trans. Power Syst.. 29 1663-1672
    Paper not yet in RePEc: Add citation now
    
27. Harris, Robert E. ; Johanning, Lars ; Wolfram, Julian Mooring systems for wave energy converters: A review of design issues and choices. 2004 :
    Paper not yet in RePEc: Add citation now
    
28. Hossain, Farhad M. ; Hasanuzzaman, Mohammad ; Rahim, N.A. ; Ping, H.W. Impact of renewable energy on rural electrification in Malaysia: A review. 2015 Clean Technol. Environ. Policy. 17 859-871
    Paper not yet in RePEc: Add citation now
    
29. IEC (International Electrotechnical Commission), Technical specification 62600-100: Marine energy - wave, tidal and other water current converters - part 100: Electricity producing wave energy converters - power performance assessment. 2012 :
    Paper not yet in RePEc: Add citation now
    
30. J. Joslin, E. Cotter, P. Murphy, P. Gibbs, R. Cavagnaro, C. Crisp, Andy R. Stewart, Brian Polagye, Patrick S. Cross, Even Hjetland, et al., The wave-powered adaptable monitoring package: Hardware design, installation, and deployment, in: Proceedings of the 13th European Wave and Tidal Energy Conference, Naples, Italy, 2019, pp. 1–6.
    Paper not yet in RePEc: Add citation now
    
31. James, Scott C. ; Zhang, Yushan ; O’Donncha, Fearghal A machine learning framework to forecast wave conditions. 2018 Coast. Eng.. 137 1-10
    Paper not yet in RePEc: Add citation now
    
32. Janssen, Peter A.E.M. Progress in ocean wave forecasting. 2008 J. Comput. Phys.. 227 3572-3594
    Paper not yet in RePEc: Add citation now
    
33. Janzen, Carol ; McCammon, Molly ; Weingartner, Thomas ; Statscewich, Hank ; Winsor, Peter ; Danielson, Seth ; Heim, Rebecca Innovative real-time observing capabilities for remote coastal regions. 2019 Front. Mar. Sci.. 6 176-
    Paper not yet in RePEc: Add citation now
    

34. Kaur, Amanpreet ; Nonnenmacher, Lukas ; Pedro, Hugo T.C. ; Coimbra, Carlos F.M. Benefits of solar forecasting for energy imbalance markets. 2016 Renew. Energy. 86 819-830

35. Khalid, M. ; Savkin, A.V. Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage. 2014 Renew. Energy. 64 105-112

36. Khalid, Muhammad ; Aguilera, Ricardo P. ; Savkin, Andrey V. ; Agelidis, Vassilios G. On maximizing profit of wind-battery supported power station based on wind power and energy price forecasting. 2018 Appl. Energy. 211 764-773

37. Kohler, P.E. Craig ; LeBlanc, Lex ; Elliott, James SCOOP-NDBC’s new ocean observing system. 2015 En : OCEANS 2015-MTS/IEEE Washington. IEEE:
    Paper not yet in RePEc: Add citation now
    
38. Kolobov, Andrey Planning with Markov decision processes: An AI perspective. 2012 En : . Morgan & Claypool Publishers:
    Paper not yet in RePEc: Add citation now
    

39. Mandelli, Stefano ; Barbieri, Jacopo ; Mereu, Riccardo ; Colombo, Emanuela Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review. 2016 Renew. Sustain. Energy Rev.. 58 1621-1646

40. Manley, Justin ; Willcox, Scott The wave glider: A persistent platform for ocean science. 2010 En : OCEANS’10 IEEE SYDNEY. IEEE:
    Paper not yet in RePEc: Add citation now
    

41. Mazzola, Simone ; Vergara, Claudio ; Astolfi, Marco ; Li, Vivian ; Perez-Arriaga, Ignacio ; Macchi, Ennio Assessing the value of forecast-based dispatch in the operation of off-grid rural microgrids. 2017 Renew. Energy. 108 116-125

42. McCandless, T.C. ; Haupt, S.E. ; Young, George Spencer A regime-dependent artificial neural network technique for short-range solar irradiance forecasting. 2016 Renew. Energy. 89 351-359

43. McWhorter, Jennifer ; Wright, Darren ; Thomas, Julie Coastal Data Information Program (CDIP). 2016 Res. Ideas Outcomes. 2 -
    Paper not yet in RePEc: Add citation now
    
44. Michael Lawson, Yi-Hsiang Yu, Kelley Ruehl, Carlos Michelen, et al., Development and demonstration of the WEC-Sim wave energy converter simulation tool, in: 2nd Marine Energy Technology Symposium, 2014.
    Paper not yet in RePEc: Add citation now
    
45. Mokhtara, Charafeddine ; Negrou, Belkhir ; Bouferrouk, Abdessalem ; Yao, Yufeng ; Settou, Noureddine ; Ramadan, Mohamad Integrated supply–demand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates. 2020 Energy Convers. Manage.. 221 113192-
    Paper not yet in RePEc: Add citation now
    

46. Muh, Erasmus ; Tabet, Fouzi Comparative analysis of hybrid renewable energy systems for off-grid applications in Southern Cameroons. 2019 Renew. Energy. 135 41-54

47. N. Booij, L.H. Holthuijsen, R.C. Ris, The “SWAN” wave model for shallow water, in: 25th International Conference on Coastal Engineering, 1997, pp. 668–676.
    Paper not yet in RePEc: Add citation now
    
48. Neary, Vincent Sinclair ; Lawson, Michael ; Previsic, Mirko ; Copping, Andrea ; Hallett, Kathleen C. ; LaBonte, Alison ; Rieks, Jeff ; Murray, Dianne Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. 2014 Sandia National Lab.(SNL-NM), Albuquerque, NM (United States):
    Paper not yet in RePEc: Add citation now
    
49. Otterlo, Martijn van ; Wiering, Marco Reinforcement learning and markov decision processes. 2012 En : Reinforcement Learning. Springer:
    Paper not yet in RePEc: Add citation now
    
50. Polagye, Brian ; Joslin, James ; Murphy, Paul ; Cotter, Emma ; Scott, Mitchell ; Gibbs, Paul ; Bassett, Christopher ; Stewart, Andrew Adaptable monitoring package development and deployment: Lessons learned for integrated instrumentation at marine energy sites. 2020 J. Mar. Sci. Eng.. 8 553-
    Paper not yet in RePEc: Add citation now
    
51. Pradhan, Parth ; Kishore, Shalinee ; Defourny, Boris Optimal predictive maintenance policy for an ocean wave farm. 2018 IEEE Trans. Sustain. Energy. 10 1993-2004
    Paper not yet in RePEc: Add citation now
    
52. Puterman, Martin L. Markov Decision Processes: Discrete Stochastic Dynamic Programming. 2014 John Wiley & Sons:
    Paper not yet in RePEc: Add citation now
    
53. Reikard, Gordon ; Rogers, W. Erick Forecasting ocean waves: Comparing a physics-based model with statistical models. 2011 Coast. Eng.. 58 409-416
    Paper not yet in RePEc: Add citation now
    
54. Robert, Fabien Chidanand ; Sisodia, Gyanendra Singh ; Gopalan, Sundararaman A critical review on the utilization of storage and demand response for the implementation of renewable energy microgrids. 2018 Sustain. Cities Soc.. 40 735-745
    Paper not yet in RePEc: Add citation now
    

55. Shaahid, S.M. ; Elhadidy, M.A. Technical and economic assessment of grid-independent hybrid photovoltaic–diesel–battery power systems for commercial loads in desert environments. 2007 Renew. Sustain. Energy Rev.. 11 1794-1810

56. Sutton, Richard S. ; Barto, Andrew G. ; Williams, Ronald J. Reinforcement learning is direct adaptive optimal control. 1992 IEEE Control Syst. Mag.. 12 19-22
    Paper not yet in RePEc: Add citation now
    
57. T.R. Mundon, Performance evaluation and analysis of a micro-scale wave energy system, in: Proceedings of the 13th European Wave and Tidal Energy Conference; Napoli, Italy, 2019, pp. 1–6.
    Paper not yet in RePEc: Add citation now
    
58. Teng, Chung-Chu ; Cucullu, Stephen ; McArthur, Shannon ; Kohler, Craig ; Burnett, Bill ; Bernard, Landry Vandalism of data buoys. 2010 Mar. Weather Log. 54 -
    Paper not yet in RePEc: Add citation now
    
59. Wang, Fei ; Mi, Zengqiang ; Su, Shi ; Zhao, Hongshan Short-term solar irradiance forecasting model based on artificial neural network using statistical feature parameters. 2012 Energies. 5 1355-1370
    Paper not yet in RePEc: Add citation now
    

60. Wang, Huai-zhi ; Li, Gang-qiang ; Wang, Gui-bin ; Peng, Jian-chun ; Jiang, Hui ; Liu, Yi-tao Deep learning based ensemble approach for probabilistic wind power forecasting. 2017 Appl. Energy. 188 56-70

61. Wang, Qin ; Martinez-Anido, Carlo Brancucci ; Wu, Hongyu ; Florita, Anthony R. ; Hodge, Bri-Mathias Quantifying the economic and grid reliability impacts of improved wind power forecasting. 2016 IEEE Trans. Sustain. Energy. 7 1525-1537
    Paper not yet in RePEc: Add citation now
    
62. White, Douglas J. A survey of applications of Markov decision processes. 1993 J. Oper. Res. Soc.. 44 1073-1096
    Paper not yet in RePEc: Add citation now
    
63. Whitehead, Steven D. ; Lin, Long-Ji Reinforcement learning of non-Markov decision processes. 1995 Artif. Intell.. 73 271-306
    Paper not yet in RePEc: Add citation now
    
64. Xu, Bolun ; Oudalov, Alexandre ; Ulbig, Andreas ; Andersson, Göran ; Kirschen, Daniel S. Modeling of lithium-ion battery degradation for cell life assessment. 2016 IEEE Trans. Smart Grid. 9 1131-1140
    Paper not yet in RePEc: Add citation now
    

65. Yang, Yuqing ; Bremner, Stephen ; Menictas, Chris ; Kay, Merlinde Battery energy storage system size determination in renewable energy systems: A review. 2018 Renew. Sustain. Energy Rev.. 91 109-125

66. Zhang, Yao ; Wang, Jianxue ; Wang, Xifan Review on probabilistic forecasting of wind power generation. 2014 Renew. Sustain. Energy Rev.. 32 255-270

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    In: Energies.
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    In: Energies.
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    In: Energies.
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    In: Energies.
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    In: Energy.
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    In: Energy.
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    In: Applied Energy.
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    In: Applied Energy.
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    In: Energies.
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    In: Renewable and Sustainable Energy Reviews.
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    In: Renewable and Sustainable Energy Reviews.
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    In: Renewable and Sustainable Energy Reviews.
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    In: Renewable Energy.
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    In: Renewable Energy.
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    RePEc:eee:appene:v:326:y:2022:i:c:s0306261922011862.

    Full description at Econpapers || Download paper

33. Sizing ramping reserve using probabilistic solar forecasts: A data-driven method. (2022). Zhang, Jie ; Spyrou, Evangelia ; Feng, Cong ; Siebenschuh, Carlo ; Li, Binghui ; Hobbs, Benjamin F ; Krishnan, Venkat.
    In: Applied Energy.
    RePEc:eee:appene:v:313:y:2022:i:c:s0306261922002574.

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34. Multi-Input Nonlinear Programming Based Deterministic Optimization Framework for Evaluating Microgrids with Optimal Renewable-Storage Energy Mix. (2021). Alhumaid, Yousef ; Khalid, Muhammad ; Khan, Khalid ; Alismail, Fahad.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:11:p:5878-:d:560792.

    Full description at Econpapers || Download paper

35. Improving Wind Power Forecasts: Combination through Multivariate Dimension Reduction Techniques. (2021). Poncela, Pilar ; Poncela-Blanco, Marta.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:5:p:1446-:d:512064.

    Full description at Econpapers || Download paper

36. 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.

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37. 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.

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38. Applications for solar irradiance nowcasting in the control of microgrids: A review. (2021). Blum, Niklas ; Moghbel, Moayed ; Shoeb, Md Asaduzzaman ; Calais, Martina ; Shafiullah, G M ; Nouri, Bijan ; Samu, Remember.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:147:y:2021:i:c:s1364032121004755.

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39. Optimal energy bidding for renewable plants: A practical application to an actual wind farm in Spain. (2021). Payan, Manuel Burgos ; Endemao-Ventura, Lazaro ; Roldan, Juan Manuel ; Riquelme, Jesus Manuel ; Gonzalez, Javier Serrano.
    In: Renewable Energy.
    RePEc:eee:renene:v:175:y:2021:i:c:p:1111-1126.

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40. Ultra-short-term combined prediction approach based on kernel function switch mechanism. (2021). Zhao, Yongning ; Qu, Ying ; Zhong, Wuzhi ; Lu, Peng ; Ye, Lin ; Zhai, Bingxu ; Tang, Yong.
    In: Renewable Energy.
    RePEc:eee:renene:v:164:y:2021:i:c:p:842-866.

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41. Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network. (2021). Tian, Xuan ; Ma, Wentao ; Fang, Shuai ; Wang, Peng ; Duan, Jiandong ; Liu, Haofan ; Cheng, Yulin ; Chang, Ying.
    In: Energy.
    RePEc:eee:energy:v:214:y:2021:i:c:s0360544220320879.

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42. A review of wind speed and wind power forecasting with deep neural networks. (2021). Wang, Yun ; Zou, Runmin ; Liu, Qianyi ; Zhang, Lingjun.
    In: Applied Energy.
    RePEc:eee:appene:v:304:y:2021:i:c:s0306261921011053.

    Full description at Econpapers || Download paper

43. A Characterization of Metrics for Comparing Satellite-Based and Ground-Measured Global Horizontal Irradiance Data: A Principal Component Analysis Application. (2020). Bueso, Maria C ; Paredes-Parra, Jose Miguel ; Mateo-Aroca, Antonio ; Molina-Garcia, Angel.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:6:p:2454-:d:334985.

    Full description at Econpapers || Download paper

44. 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.

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45. A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization. (2020). Mishra, Y ; Sreeram, V ; Ahmed, R ; Arif, M D.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:124:y:2020:i:c:s1364032120300885.

    Full description at Econpapers || Download paper

46. Assessment of critical parameters for artificial neural networks based short-term wind generation forecasting. (2020). Sewdien, V N ; Preece, R ; van der Meijden, M ; Rueda, J L ; Rakhshani, E.
    In: Renewable Energy.
    RePEc:eee:renene:v:161:y:2020:i:c:p:878-892.

    Full description at Econpapers || Download paper

47. Impact of 15-day energy forecasts on the hydro-thermal scheduling of a future Nordic power system. (2020). Rasku, Topi ; Kiviluoma, Juha ; Miettinen, Jari ; Rinne, Erkka.
    In: Energy.
    RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323631.

    Full description at Econpapers || Download paper

48. Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study. (2019). Hong, Sugwon ; Lee, Seung-Jae ; Aslam, Muhammad ; Kim, Hyung-Seung.
    In: Energies.
    RePEc:gam:jeners:v:13:y:2019:i:1:p:147-:d:302641.

    Full description at Econpapers || Download paper

49. Day Ahead Hourly Global Horizontal Irradiance Forecasting—Application to South African Data. (2019). Sigauke, Caston ; Mulaudzi, Sophie ; Mpfumali, Phathutshedzo ; Bere, Alphonce.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:18:p:3569-:d:268391.

    Full description at Econpapers || Download paper

50. Wind power forecast based on improved Long Short Term Memory network. (2019). Gao, Zhiyu ; Zhang, Rongchang ; Jing, Huitian.
    In: Energy.
    RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319954.

    Full description at Econpapers || Download paper

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