
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Model Estimation of ARMA Using Genetic Algorithms: A Case Study of Forecasting Natural Gas Consumption
Beyzanur Çayır Ervural, Ömer Faruk Beyca, Selim Zaim
Procedia - Social and Behavioral Sciences (2016) Vol. 235, pp. 537-545
Open Access | Times Cited: 76
Beyzanur Çayır Ervural, Ömer Faruk Beyca, Selim Zaim
Procedia - Social and Behavioral Sciences (2016) Vol. 235, pp. 537-545
Open Access | Times Cited: 76
Showing 1-25 of 76 citing articles:
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Nan Wei, Changjun Li, Xiaomei Peng, et al.
Journal of Petroleum Science and Engineering (2019) Vol. 181, pp. 106187-106187
Closed Access | Times Cited: 203
Nan Wei, Changjun Li, Xiaomei Peng, et al.
Journal of Petroleum Science and Engineering (2019) Vol. 181, pp. 106187-106187
Closed Access | Times Cited: 203
Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm
Weibiao Qiao, Zhe Yang, Zhangyang Kang, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103323-103323
Closed Access | Times Cited: 180
Weibiao Qiao, Zhe Yang, Zhangyang Kang, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103323-103323
Closed Access | Times Cited: 180
Underestimated impact of the COVID-19 on carbon emission reduction in developing countries – A novel assessment based on scenario analysis
Qiang Wang, Shuyu Li, Rongrong Li, et al.
Environmental Research (2021) Vol. 204, pp. 111990-111990
Open Access | Times Cited: 155
Qiang Wang, Shuyu Li, Rongrong Li, et al.
Environmental Research (2021) Vol. 204, pp. 111990-111990
Open Access | Times Cited: 155
A Novel Hybrid Prediction Model for Hourly Gas Consumption in Supply Side Based on Improved Whale Optimization Algorithm and Relevance Vector Machine
Weibiao Qiao, Kun Huang, Mohammadamin Azimi, et al.
IEEE Access (2019) Vol. 7, pp. 88218-88230
Open Access | Times Cited: 128
Weibiao Qiao, Kun Huang, Mohammadamin Azimi, et al.
IEEE Access (2019) Vol. 7, pp. 88218-88230
Open Access | Times Cited: 128
A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of U.S.
Weibiao Qiao, Wei Liu, Enbin Liu
Energy (2021) Vol. 235, pp. 121216-121216
Closed Access | Times Cited: 94
Weibiao Qiao, Wei Liu, Enbin Liu
Energy (2021) Vol. 235, pp. 121216-121216
Closed Access | Times Cited: 94
Daily natural gas load forecasting based on the combination of long short term memory, local mean decomposition, and wavelet threshold denoising algorithm
Shanbi Peng, Ruolei Chen, Bin Yu, et al.
Journal of Natural Gas Science and Engineering (2021) Vol. 95, pp. 104175-104175
Closed Access | Times Cited: 74
Shanbi Peng, Ruolei Chen, Bin Yu, et al.
Journal of Natural Gas Science and Engineering (2021) Vol. 95, pp. 104175-104175
Closed Access | Times Cited: 74
An integrated power load point-interval forecasting system based on information entropy and multi-objective optimization
Kang Wang, Jianzhou Wang, Bo Zeng, et al.
Applied Energy (2022) Vol. 314, pp. 118938-118938
Closed Access | Times Cited: 48
Kang Wang, Jianzhou Wang, Bo Zeng, et al.
Applied Energy (2022) Vol. 314, pp. 118938-118938
Closed Access | Times Cited: 48
Employing categorical boosting (CatBoost) and meta-heuristic algorithms for predicting the urban gas consumption
Leren Qian, Zhongsheng Chen, Yiqian Huang, et al.
Urban Climate (2023) Vol. 51, pp. 101647-101647
Closed Access | Times Cited: 37
Leren Qian, Zhongsheng Chen, Yiqian Huang, et al.
Urban Climate (2023) Vol. 51, pp. 101647-101647
Closed Access | Times Cited: 37
Forecasting natural gas consumption with multiple seasonal patterns
Jia Ding, Yuxuan Zhao, Junyang Jin
Applied Energy (2023) Vol. 337, pp. 120911-120911
Closed Access | Times Cited: 25
Jia Ding, Yuxuan Zhao, Junyang Jin
Applied Energy (2023) Vol. 337, pp. 120911-120911
Closed Access | Times Cited: 25
Parallel genetic algorithms for optimizing the SARIMA model for better forecasting of the NCDC weather data
Mohammed Farsi, Doreswamy Hosahalli, B.R. Manjunatha, et al.
Alexandria Engineering Journal (2020) Vol. 60, Iss. 1, pp. 1299-1316
Open Access | Times Cited: 61
Mohammed Farsi, Doreswamy Hosahalli, B.R. Manjunatha, et al.
Alexandria Engineering Journal (2020) Vol. 60, Iss. 1, pp. 1299-1316
Open Access | Times Cited: 61
A MFO-based conformable fractional nonhomogeneous grey Bernoulli model for natural gas production and consumption forecasting
Chengli Zheng, Wen-Ze Wu, Wanli Xie, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106891-106891
Closed Access | Times Cited: 57
Chengli Zheng, Wen-Ze Wu, Wanli Xie, et al.
Applied Soft Computing (2020) Vol. 99, pp. 106891-106891
Closed Access | Times Cited: 57
Global natural gas demand to 2025: A learning scenario development model
Reza Hafezi, Amirnaser Akhavan, Saeed Pakseresht, et al.
Energy (2021) Vol. 224, pp. 120167-120167
Closed Access | Times Cited: 44
Reza Hafezi, Amirnaser Akhavan, Saeed Pakseresht, et al.
Energy (2021) Vol. 224, pp. 120167-120167
Closed Access | Times Cited: 44
Minute-level ultra-short-term power load forecasting based on time series data features
Chuang Wang, Haishen Zhao, Yang Liu, et al.
Applied Energy (2024) Vol. 372, pp. 123801-123801
Open Access | Times Cited: 7
Chuang Wang, Haishen Zhao, Yang Liu, et al.
Applied Energy (2024) Vol. 372, pp. 123801-123801
Open Access | Times Cited: 7
Refined analysis and prediction of natural gas consumption in China
Ting Liang, Jian Chai, Yue‐Jun Zhang, et al.
Journal of Management Science and Engineering (2019) Vol. 4, Iss. 2, pp. 91-104
Open Access | Times Cited: 49
Ting Liang, Jian Chai, Yue‐Jun Zhang, et al.
Journal of Management Science and Engineering (2019) Vol. 4, Iss. 2, pp. 91-104
Open Access | Times Cited: 49
Machine learning for energy-water nexus: challenges and opportunities
Zaidi, Chandola, Allen, et al.
Big Earth Data (2018) Vol. 2, Iss. 3, pp. 228-267
Open Access | Times Cited: 47
Zaidi, Chandola, Allen, et al.
Big Earth Data (2018) Vol. 2, Iss. 3, pp. 228-267
Open Access | Times Cited: 47
An examination of factors affecting residential energy consumption using a multiple discrete continuous approach
Naveen Chandra Iraganaboina, Naveen Eluru
Energy and Buildings (2021) Vol. 240, pp. 110934-110934
Closed Access | Times Cited: 35
Naveen Chandra Iraganaboina, Naveen Eluru
Energy and Buildings (2021) Vol. 240, pp. 110934-110934
Closed Access | Times Cited: 35
An optimized nonlinear time-varying grey Bernoulli model and its application in forecasting the stock and sales of electric vehicles
Huimin Zhou, Yaoguo Dang, Yingjie Yang, et al.
Energy (2022) Vol. 263, pp. 125871-125871
Open Access | Times Cited: 25
Huimin Zhou, Yaoguo Dang, Yingjie Yang, et al.
Energy (2022) Vol. 263, pp. 125871-125871
Open Access | Times Cited: 25
Short-term power load forecasting system based on rough set, information granule and multi-objective optimization
Jianzhou Wang, Kang Wang, Zhiwu Li, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110692-110692
Closed Access | Times Cited: 14
Jianzhou Wang, Kang Wang, Zhiwu Li, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110692-110692
Closed Access | Times Cited: 14
A knowledge-enhanced graph-based temporal-spatial network for natural gas consumption prediction
Jian Du, Jianqin Zheng, Yongtu Liang, et al.
Energy (2022) Vol. 263, pp. 125976-125976
Closed Access | Times Cited: 19
Jian Du, Jianqin Zheng, Yongtu Liang, et al.
Energy (2022) Vol. 263, pp. 125976-125976
Closed Access | Times Cited: 19
Combining Grey Model and Self-Adapting Intelligent Grey Model with Genetic Algorithm and Annual Share Changes in Natural Gas Demand Forecasting
Guo‐Feng Fan, An Wang, Wei‐Chiang Hong
Energies (2018) Vol. 11, Iss. 7, pp. 1625-1625
Open Access | Times Cited: 36
Guo‐Feng Fan, An Wang, Wei‐Chiang Hong
Energies (2018) Vol. 11, Iss. 7, pp. 1625-1625
Open Access | Times Cited: 36
Estimation of ARIMA model parameters for drought prediction using the genetic algorithm
A Abbasi, Keivan Khalili, Javad Behmanesh, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 10
Closed Access | Times Cited: 23
A Abbasi, Keivan Khalili, Javad Behmanesh, et al.
Arabian Journal of Geosciences (2021) Vol. 14, Iss. 10
Closed Access | Times Cited: 23
Time Series Forecasting Using a Two-Level Multi-Objective Genetic Algorithm: A Case Study of Maintenance Cost Data for Tunnel Fans
Yamur K. Al-Douri, Hussan Hamodi, Jan Lundberg
Algorithms (2018) Vol. 11, Iss. 8, pp. 123-123
Open Access | Times Cited: 25
Yamur K. Al-Douri, Hussan Hamodi, Jan Lundberg
Algorithms (2018) Vol. 11, Iss. 8, pp. 123-123
Open Access | Times Cited: 25
Forecasting Natural Gas Consumption of China Using a Novel Grey Model
Chengli Zheng, Wen-Ze Wu, Jianming Jiang, et al.
Complexity (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 21
Chengli Zheng, Wen-Ze Wu, Jianming Jiang, et al.
Complexity (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 21
Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oil Engine Fuel Consumption Using Univariate Forecasting and XGBoost Machine Learning Models
Elias Amancio Siqueira-Filho, Maira Farias Andrade Lira, Attílio Converti, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 2942-2942
Open Access | Times Cited: 7
Elias Amancio Siqueira-Filho, Maira Farias Andrade Lira, Attílio Converti, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 2942-2942
Open Access | Times Cited: 7
Improvement of grey prediction models and their usage for energy demand forecasting
Beyzanur Çayır Ervural, Bilal Ervural
Journal of Intelligent & Fuzzy Systems (2018) Vol. 34, Iss. 4, pp. 2679-2688
Closed Access | Times Cited: 23
Beyzanur Çayır Ervural, Bilal Ervural
Journal of Intelligent & Fuzzy Systems (2018) Vol. 34, Iss. 4, pp. 2679-2688
Closed Access | Times Cited: 23