Adaptive Nonparametric Kernel Density Estimation Approach for Joint Probability Density Function Modeling of Multiple Wind Farms
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Philippe Van Kerm, 2003.
"Adaptive kernel density estimation,"
Stata Journal, StataCorp LP, vol. 3(2), pages 148-156, June.
- Philippe Van Kerm, 2003. "Adaptive kernel density estimation," United Kingdom Stata Users' Group Meetings 2003 15, Stata Users Group.
- Zhang, Yachao & Le, Jian & Zheng, Feng & Zhang, Yi & Liu, Kaipei, 2019. "Two-stage distributionally robust coordinated scheduling for gas-electricity integrated energy system considering wind power uncertainty and reserve capacity configuration," Renewable Energy, Elsevier, vol. 135(C), pages 122-135.
- Rongsheng Liu & Minfang Peng & Xianghui Xiao, 2018. "Ultra-Short-Term Wind Power Prediction Based on Multivariate Phase Space Reconstruction and Multivariate Linear Regression," Energies, MDPI, vol. 11(10), pages 1-17, October.
- Seppo Pulkkinen & Marko Mäkelä & Napsu Karmitsa, 2013. "A continuation approach to mode-finding of multivariate Gaussian mixtures and kernel density estimates," Journal of Global Optimization, Springer, vol. 56(2), pages 459-487, June.
- Zougab, Nabil & Adjabi, Smail & Kokonendji, Célestin C., 2014. "Bayesian estimation of adaptive bandwidth matrices in multivariate kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 75(C), pages 28-38.
- Zhang, Jie & Chowdhury, Souma & Messac, Achille & Castillo, Luciano, 2013. "A Multivariate and Multimodal Wind Distribution model," Renewable Energy, Elsevier, vol. 51(C), pages 436-447.
- Sreevani, & Murthy, C.A., 2016. "On bandwidth selection using minimal spanning tree for kernel density estimation," Computational Statistics & Data Analysis, Elsevier, vol. 102(C), pages 67-84.
- Altunkaynak, Abdüsselam & Erdik, Tarkan & Dabanlı, İsmail & Şen, Zekai, 2012. "Theoretical derivation of wind power probability distribution function and applications," Applied Energy, Elsevier, vol. 92(C), pages 809-814.
- Chang, Meng-Shiuh & Wu, Ximing, 2015. "Transformation-based nonparametric estimation of multivariate densities," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 71-88.
- Olauson, Jon & Bergkvist, Mikael, 2016. "Correlation between wind power generation in the European countries," Energy, Elsevier, vol. 114(C), pages 663-670.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Xinghua Wang & Fucheng Zhong & Yilin Xu & Xixian Liu & Zezhong Li & Jianan Liu & Zhuoli Zhao, 2023. "Extraction and Joint Method of PV–Load Typical Scenes Considering Temporal and Spatial Distribution Characteristics," Energies, MDPI, vol. 16(18), pages 1-19, September.
- Jenny Farmer & Eve Allen & Donald J. Jacobs, 2022. "Quasar Identification Using Multivariate Probability Density Estimated from Nonparametric Conditional Probabilities," Mathematics, MDPI, vol. 11(1), pages 1-19, December.
- Zhenhua Li & Tinghe Hu & Ahmed Abu-Siada, 2019. "A Minimum Side-Lobe Optimization Window Function and Its Application in Harmonic Detection of an Electricity Gird," Energies, MDPI, vol. 12(13), pages 1-17, July.
- Jie Zhu & Buxiang Zhou & Yiwei Qiu & Tianlei Zang & Yi Zhou & Shi Chen & Ningyi Dai & Huan Luo, 2023. "Survey on Modeling of Temporally and Spatially Interdependent Uncertainties in Renewable Power Systems," Energies, MDPI, vol. 16(16), pages 1-19, August.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Yang, Dechang & Wang, Ming & Yang, Ruiqi & Zheng, Yingying & Pandzic, Hrvoje, 2021. "Optimal dispatching of an energy system with integrated compressed air energy storage and demand response," Energy, Elsevier, vol. 234(C).
- Zhou, Dengji & Yan, Siyun & Huang, Dawen & Shao, Tiemin & Xiao, Wang & Hao, Jiarui & Wang, Chen & Yu, Tianqi, 2022. "Modeling and simulation of the hydrogen blended gas-electricity integrated energy system and influence analysis of hydrogen blending modes," Energy, Elsevier, vol. 239(PA).
- Rémi Yin & Anthony Lepinteur & Andrew E Clark & Conchita d'Ambrosio, 2021.
"Life Satisfaction and the Human Development Index Across the World,"
Working Papers
halshs-03174513, HAL.
- Remi Yin & Anthony Lepinteur & Andrew E. Clark & Conchita D’ambrosio, 2023. "Life Satisfaction and the Human Development Index Across the World," Post-Print halshs-03467218, HAL.
- Rémi Yin & Anthony Lepinteur & Andrew E Clark & Conchita d'Ambrosio, 2021. "Life Satisfaction and the Human Development Index Across the World," PSE Working Papers halshs-03174513, HAL.
- Remi Yin & Anthony Lepinteur & Andrew E. Clark & Conchita D’ambrosio, 2023. "Life Satisfaction and the Human Development Index Across the World," PSE-Ecole d'économie de Paris (Postprint) halshs-03467218, HAL.
- Ouimet, Frédéric & Tolosana-Delgado, Raimon, 2022. "Asymptotic properties of Dirichlet kernel density estimators," Journal of Multivariate Analysis, Elsevier, vol. 187(C).
- Munir Ali Elfarra & Mustafa Kaya, 2018. "Comparison of Optimum Spline-Based Probability Density Functions to Parametric Distributions for the Wind Speed Data in Terms of Annual Energy Production," Energies, MDPI, vol. 11(11), pages 1-15, November.
- Anos-Casero, Paloma & Udomsaph, Charles, 2009. "What drives firm productivity growth ?," Policy Research Working Paper Series 4841, The World Bank.
- Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2023.
"Maternal genetic risk for depression and child human capital,"
Journal of Health Economics, Elsevier, vol. 87(C).
- Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2022. "Maternal Genetic Risk for Depression and Child Human Capital," IZA Discussion Papers 15798, Institute of Labor Economics (IZA).
- Giorgia Menta & Anthony Lepinteur & Andrew E. Clark & Simone Ghislandi & Conchita d'Ambrosio, 2023. "Maternal genetic risk for depression and child human capital," Post-Print halshs-04205898, HAL.
- Giorgia Menta & Anthony Lepinteur & Andrew E. Clark & Simone Ghislandi & Conchita d'Ambrosio, 2023. "Maternal genetic risk for depression and child human capital," PSE-Ecole d'économie de Paris (Postprint) halshs-04205898, HAL.
- Hayes, Liam & Stocks, Matthew & Blakers, Andrew, 2021. "Accurate long-term power generation model for offshore wind farms in Europe using ERA5 reanalysis," Energy, Elsevier, vol. 229(C).
- Hyslop, Dean & Stillman, Steven, 2007. "Youth minimum wage reform and the labour market in New Zealand," Labour Economics, Elsevier, vol. 14(2), pages 201-230, April.
- Clementi, Fabio & Molini, Vasco & Schettino, Francesco, 2018.
"All that Glitters is not Gold: Polarization Amid Poverty Reduction in Ghana,"
World Development, Elsevier, vol. 102(C), pages 275-291.
- Clementi,Fabio & Molini,Vasco & Schettino,Francesco, 2016. "All that glitters is not gold : polarization amid poverty reduction in Ghana," Policy Research Working Paper Series 7758, The World Bank.
- Bao, Minglei & Hui, Hengyu & Ding, Yi & Sun, Xiaocong & Zheng, Chenghang & Gao, Xiang, 2023. "An efficient framework for exploiting operational flexibility of load energy hubs in risk management of integrated electricity-gas systems," Applied Energy, Elsevier, vol. 338(C).
- Wimhurst, Joshua J. & Greene, J. Scott, 2019. "Oklahoma's future wind energy resources and their relationship with the Central Plains low-level jet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
- Souma Chowdhury & Ali Mehmani & Jie Zhang & Achille Messac, 2016. "Market Suitability and Performance Tradeoffs Offered by Commercial Wind Turbines across Differing Wind Regimes," Energies, MDPI, vol. 9(5), pages 1-31, May.
- Manisha Sawant & Rupali Patil & Tanmay Shikhare & Shreyas Nagle & Sakshi Chavan & Shivang Negi & Neeraj Dhanraj Bokde, 2022. "A Selective Review on Recent Advancements in Long, Short and Ultra-Short-Term Wind Power Prediction," Energies, MDPI, vol. 15(21), pages 1-24, October.
- Maksim Yemelyanau, 2008. "Inequality in Belarus from 1995 to 2005," CERGE-EI Working Papers wp356, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
- Fabio Clementi & Francesco Schettino, 2013.
"Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data,"
Economics Bulletin, AccessEcon, vol. 33(3), pages 1796-1815.
- Clementi, F. & Schettino, F., 2013. "Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149891, Italian Association of Agricultural and Applied Economics (AIEAA).
- González-Aparicio, I. & Monforti, F. & Volker, P. & Zucker, A. & Careri, F. & Huld, T. & Badger, J., 2017. "Simulating European wind power generation applying statistical downscaling to reanalysis data," Applied Energy, Elsevier, vol. 199(C), pages 155-168.
- Falko Juessen, 2009.
"A distribution dynamics approach to regional GDP convergence in unified Germany,"
Empirical Economics, Springer, vol. 37(3), pages 627-652, December.
- Juessen Falko, 2005. "A distribution dynamics approach to regional GDP convergence in reunified Germany," Urban/Regional 0506008, University Library of Munich, Germany.
- Juessen, Falko, 2009. "A Distribution Dynamics Approach to Regional GDP Convergence in Unified Germany," IZA Discussion Papers 4177, Institute of Labor Economics (IZA).
- Ganguli, Ina & Terrell, Katherine, 2006.
"Institutions, markets and men's and women's wage inequality: Evidence from Ukraine,"
Journal of Comparative Economics, Elsevier, vol. 34(2), pages 200-227, June.
- Ganguli, Ina & Terrell, Katherine, 2005. "Institutions, Markets and Men's and Women's Wage Inequality: Evidence from Ukraine," IZA Discussion Papers 1724, Institute of Labor Economics (IZA).
- Meng, Anbo & Zhu, Zibin & Deng, Weisi & Ou, Zuhong & Lin, Shan & Wang, Chenen & Xu, Xuancong & Wang, Xiaolin & Yin, Hao & Luo, Jianqiang, 2022. "A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning machine," Energy, Elsevier, vol. 260(C).
More about this item
Keywords
kernel density estimation; multiple wind farms; joint probability density; ordinal optimization;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1356-:d:221077. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.