A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning
Methods based on probability make use of data sets to recognize patterns, evaluate potential outcomes, and predict various scenarios. These methods are often empirically utilized to analyze data sets, with a particular focus on data sets related to energy. The rapid urbanization in China has led to...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824014522 |
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| author | Jiayi Zhang Shensheng Chen Tmader Alballa Laila A. AL-Essa Haifa Alqahtani Hamiden Abd El-Wahed Khalifa |
| author_facet | Jiayi Zhang Shensheng Chen Tmader Alballa Laila A. AL-Essa Haifa Alqahtani Hamiden Abd El-Wahed Khalifa |
| author_sort | Jiayi Zhang |
| collection | DOAJ |
| description | Methods based on probability make use of data sets to recognize patterns, evaluate potential outcomes, and predict various scenarios. These methods are often empirically utilized to analyze data sets, with a particular focus on data sets related to energy. The rapid urbanization in China has led to an increase in the share of residential energy consumption in the overall energy consumption. Given the importance of probability-based methods in the energy sector, this paper introduces the weighted very flexible Weibull (WVF-Weibull) distribution as a novel probability distribution. We provide the point estimators and simulation studies carried out under various parameter settings. Finally, the WVF-Weibull distribution is implemented to examine the energy consumption data collected from the urban regions of China. Through the examination of six statistical tools, it has been established that the WVF-Weibull distribution is the optimal model among various probability distributions for energy consumption data. |
| format | Article |
| id | doaj-art-c9cf693311a54a5492efbf839aef42c3 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-c9cf693311a54a5492efbf839aef42c32025-02-07T04:47:04ZengElsevierAlexandria Engineering Journal1110-01682025-02-01113218226A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planningJiayi Zhang0Shensheng Chen1Tmader Alballa2Laila A. AL-Essa3Haifa Alqahtani4Hamiden Abd El-Wahed Khalifa5College of Landscape Architecture, Zhejiang A&F University, Hangzhou 311300, Zhejiang, ChinaInstitute of Ecological Civilization, Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China; Rural Revitalization Academy of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China; Corresponding author.Department of Mathematics, College of Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Mathematics, College of Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaDepartment of Statistics and Business Analytics, United Arab Emirates University, Al Ain 15551, Abu Dhabi, United Arab EmiratesDepartment of Mathematics, College of Science, Qassim University, Buraydah 51452, Saudi ArabiaMethods based on probability make use of data sets to recognize patterns, evaluate potential outcomes, and predict various scenarios. These methods are often empirically utilized to analyze data sets, with a particular focus on data sets related to energy. The rapid urbanization in China has led to an increase in the share of residential energy consumption in the overall energy consumption. Given the importance of probability-based methods in the energy sector, this paper introduces the weighted very flexible Weibull (WVF-Weibull) distribution as a novel probability distribution. We provide the point estimators and simulation studies carried out under various parameter settings. Finally, the WVF-Weibull distribution is implemented to examine the energy consumption data collected from the urban regions of China. Through the examination of six statistical tools, it has been established that the WVF-Weibull distribution is the optimal model among various probability distributions for energy consumption data.http://www.sciencedirect.com/science/article/pii/S1110016824014522Very flexible Weibull distributionWeighted T-X distributional approachEnergy consumptionUrban planningData setStatistical modeling |
| spellingShingle | Jiayi Zhang Shensheng Chen Tmader Alballa Laila A. AL-Essa Haifa Alqahtani Hamiden Abd El-Wahed Khalifa A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning Alexandria Engineering Journal Very flexible Weibull distribution Weighted T-X distributional approach Energy consumption Urban planning Data set Statistical modeling |
| title | A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning |
| title_full | A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning |
| title_fullStr | A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning |
| title_full_unstemmed | A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning |
| title_short | A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning |
| title_sort | new probabilistic model with simulation study its practical implementations using the energy consumption in urban planning |
| topic | Very flexible Weibull distribution Weighted T-X distributional approach Energy consumption Urban planning Data set Statistical modeling |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824014522 |
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