Optimization of used price assessment model for new energy vehicles using machine learning

[1] Zhao, S., Qian, K., & Wen, C. (2022). Research on Used Car Transaction Cycle Based on Soft Voting. Information Systems and Economics, 3(1), 10-15. Zhao S. Qian K. Wen C. ( 2022 ). Research on Used Car Transaction Cycle Based on Soft Voting . Information Systems and Economics , 3 ( 1 ), 10 - 15 . Search in Google Scholar

[2] Ater, I., & Yoseph, N. S. (2022). The impact of environmental fraud on the used car market: Evidence from dieselgate. The Journal of Industrial Economics, 70(2), 463-491. Ater I. Yoseph N. S. ( 2022 ). The impact of environmental fraud on the used car market: Evidence from dieselgate . The Journal of Industrial Economics , 70 ( 2 ), 463 - 491 . Search in Google Scholar

[3] Bräuer, S., Plenter, F., Klör, B., Monhof, M., Beverungen, D., & Becker, J. (2020). Transactions for trading used electric vehicle batteries: theoretical underpinning and information systems design principles. Business Research, 13, 311-342. Bräuer S. Plenter F. Klör B. Monhof M. Beverungen D. Becker J. ( 2020 ). Transactions for trading used electric vehicle batteries: theoretical underpinning and information systems design principles . Business Research , 13 , 311 - 342 . Search in Google Scholar

[4] Hansen, J. L. (2024). Market Transactions and the. Regulating EU Capital Markets Union: Volume I: Fundamentals of a European Code, 1, 154. Hansen J. L. ( 2024 ). Market Transactions and the . Regulating EU Capital Markets Union: Volume I: Fundamentals of a European Code , 1 , 154 . Search in Google Scholar

[5] Sun, N., Bai, H., Geng, Y., & Shi, H. (2017, June). Price evaluation model in second-hand car system based on BP neural network theory. In 2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) (pp. 431-436). IEEE. Sun N. Bai H. Geng Y. Shi H. ( 2017 , June ). Price evaluation model in second-hand car system based on BP neural network theory . In 2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) (pp. 431 - 436 ). IEEE . Search in Google Scholar

[6] Chen, J., Li, F., Xu, J., Wang, Q., Han, Q., & Yan, M. (2022, May). Comparisons of different methods used for second-hand car price prediction. In 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022) (Vol. 12259, pp. 1191-1201). SPIE. Chen J. Li F. Xu J. Wang Q. Han Q. Yan M. ( 2022 , May ). Comparisons of different methods used for second-hand car price prediction . In 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022) (Vol. 12259 , pp. 1191 - 1201 ). SPIE . Search in Google Scholar

[7] Liu, Y., & Song, S. (2023). Analysis of Multiple Factors Influencing the Second-hand Car Pricing in China. Journal of Education, Humanities and Social Sciences, 16, 29-37. Liu Y. Song S. ( 2023 ). Analysis of Multiple Factors Influencing the Second-hand Car Pricing in China . Journal of Education, Humanities and Social Sciences , 16 , 29 - 37 . Search in Google Scholar

[8] Varshitha, J., Jahnavi, K., & Lakshmi, C. (2022, January). Prediction of used car prices using artificial neural networks and machine learning. In 2022 international conference on computer communication and informatics (ICCCI) (pp. 1-4). IEEE. Varshitha J. Jahnavi K. Lakshmi C. ( 2022 , January ). Prediction of used car prices using artificial neural networks and machine learning . In 2022 international conference on computer communication and informatics (ICCCI) (pp. 1 - 4 ). IEEE . Search in Google Scholar

[9] Alpaydin, E. (2020). Introduction to machine learning. MIT press. Alpaydin E. ( 2020 ). Introduction to machine learning . MIT press . Search in Google Scholar

[10] Shinde, P. P., & Shah, S. (2018, August). A review of machine learning and deep learning applications. In 2018 Fourth international conference on computing communication control and automation (ICCUBEA) (pp. 1-6). IEEE. Shinde P. P. Shah S. ( 2018 , August ). A review of machine learning and deep learning applications . In 2018 Fourth international conference on computing communication control and automation (ICCUBEA) (pp. 1 - 6 ). IEEE . Search in Google Scholar

[11] Wilson, Z. T., & Sahinidis, N. V. (2017). The ALAMO approach to machine learning. Computers & Chemical Engineering, 106, 785-795. Wilson Z. T. Sahinidis N. V. ( 2017 ). The ALAMO approach to machine learning . Computers & Chemical Engineering , 106 , 785 - 795 . Search in Google Scholar

[12] Ray, S. (2019, February). A quick review of machine learning algorithms. In 2019 International conference on machine learning, big data, cloud and parallel computing (COMITCon) (pp. 35-39). IEEE. Ray S. ( 2019 , February ). A quick review of machine learning algorithms . In 2019 International conference on machine learning, big data, cloud and parallel computing (COMITCon) (pp. 35 - 39 ). IEEE . Search in Google Scholar

[13] Bishop, C. M. (2013). Model-based machine learning. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371(1984), 20120222. Bishop C. M. ( 2013 ). Model-based machine learning . Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , 371 ( 1984 ), 20120222 . Search in Google Scholar

[14] Murphy, K. P. (2022). Probabilistic machine learning: an introduction. MIT press. Murphy K. P. ( 2022 ). Probabilistic machine learning: an introduction . MIT press . Search in Google Scholar

[15] Kriswantara, B., & Sadikin, R. (2022). Machine learning used car price prediction with random forest regressor model. JISICOM (Journal of Information System, Informatics and Computing), 6(1), 40-49. Kriswantara B. Sadikin R. ( 2022 ). Machine learning used car price prediction with random forest regressor model . JISICOM (Journal of Information System, Informatics and Computing) , 6 ( 1 ), 40 - 49 . Search in Google Scholar

[16] Gegic, E., Isakovic, B., Keco, D., Masetic, Z., & Kevric, J. (2019). Car price prediction using machine learning techniques. TEM Journal, 8(1), 113. Gegic E. Isakovic B. Keco D. Masetic Z. Kevric J. ( 2019 ). Car price prediction using machine learning techniques . TEM Journal , 8 ( 1 ), 113 . Search in Google Scholar

[17] Agrahari, K., Chaubey, A., Khan, M., & Srivastava, M. (2021). Car price prediction using machine learning. Int. J. Innov. Res. Technol, 8(1). Agrahari K. Chaubey A. Khan M. Srivastava M. ( 2021 ). Car price prediction using machine learning . Int. J. Innov. Res. Technol , 8 ( 1 . Search in Google Scholar

[18] Ahtesham, M., & Zulfiqar, J. (2022, January). Used car price prediction with pyspark. In International conference on digital technologies and applications (pp. 169-179). Cham: Springer International Publishing. Ahtesham M. Zulfiqar J. ( 2022 , January ). Used car price prediction with pyspark . In International conference on digital technologies and applications (pp. 169 - 179 ). Cham: Springer International Publishing . Search in Google Scholar

[19] Shaprapawad, S., Borugadda, P., & Koshika, N. (2023, April). Car Price Prediction: An Application of Machine Learning. In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 242-248). IEEE. Shaprapawad S. Borugadda P. Koshika N. ( 2023 , April ). Car Price Prediction: An Application of Machine Learning . In 2023 International Conference on Inventive Computation Technologies (ICICT) (pp. 242 - 248 ). IEEE . Search in Google Scholar

[20] Bharambe, P. P., Bagul, B., Dandekar, S., & Ingle, P. (2022). Used car price prediction using different machine learning algorithms. Int. J. Res. Appl. Sci. Eng. Technol, 10, 773-778. Bharambe P. P. Bagul B. Dandekar S. Ingle P. ( 2022 ). Used car price prediction using different machine learning algorithms . Int. J. Res. Appl. Sci. Eng. Technol , 10 , 773 - 778 . Search in Google Scholar

[21] Narayana, C. V., Madhuri, N. O. G., NagaSindhu, A., Aksha, M., & Naveen, C. (2022, June). Second Sale Car Price Prediction using Machine Learning Algorithm. In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 1171-1177). IEEE. Narayana C. V. Madhuri N. O. G. NagaSindhu A. Aksha M. Naveen C. ( 2022 , June ). Second Sale Car Price Prediction using Machine Learning Algorithm . In 2022 7th International Conference on Communication and Electronics Systems (ICCES) (pp. 1171 - 1177 ). IEEE . Search in Google Scholar

[22] Miriam Sitienei, Argwings Otieno & Ayubu Anapapa. (2023). An Application of K-Nearest-Neighbor Regression in Maize Yield Prediction. Asian Journal of Probability and Statistics(4),1-10. Sitienei Miriam Otieno Argwings Anapapa Ayubu ( 2023 ). An Application of K-Nearest-Neighbor Regression in Maize Yield Prediction . Asian Journal of Probability and Statistics ( 4 ), 1 - 10 . Search in Google Scholar

[23] Srikanth Bhoopathi, Nitish Kumar, Somesh & Manali Pal. (2024). Evaluating the performances of SVR and XGBoost for short-range forecasting of heatwaves across different temperature zones of India. Applied Computing and Geosciences100204-100204. Bhoopathi Srikanth Nitish Kumar Somesh Pal Manali ( 2024 ). Evaluating the performances of SVR and XGBoost for short-range forecasting of heatwaves across different temperature zones of India . Applied Computing and Geosciences 100204 - 100204 . Search in Google Scholar

[24] Olli Ihalainen, Theresa Sandmann, Uwe Rascher & Matti Mõttus. (2024). Illumination correction for close-range hyperspectral images using spectral invariants and random forest regression. Remote Sensing of Environment114467-114467. Ihalainen Olli Sandmann Theresa Rascher Uwe Mõttus Matti ( 2024 ). Illumination correction for close-range hyperspectral images using spectral invariants and random forest regression . Remote Sensing of Environment 114467 - 114467 . Search in Google Scholar

[25] Chaimae Hazman, Azidine Guezzaz, Said Benkirane & Mourade Azrour. (2024). A smart model integrating LSTM and XGBoost for improving IoT-enabled smart cities security. Cluster Computing(1), 70-70. Hazman Chaimae Guezzaz Azidine Benkirane Said Azrour Mourade ( 2024 ). A smart model integrating LSTM and XGBoost for improving IoT-enabled smart cities security . Cluster Computing ( 1 ), 70 - 70 . Search in Google Scholar

[26] Chukwuemeka Daniel. (2024). A robust LightGBM model for concrete tensile strength forecast to aid in resilience-based structure strategies. Heliyon(20), e39679-e39679. Daniel Chukwuemeka ( 2024 ). A robust LightGBM model for concrete tensile strength forecast to aid in resilience-based structure strategies . Heliyon ( 20 ), e39679 - e39679 . Search in Google Scholar

[27] Lianying Zhang, Jiaquan Shan, Qian Bai, Zhaoxin Zhang, Siyuan Zhang, Xin Cui & Xiaohu Yang. (2024). Energy efficiency prediction of refrigerating station system based on BP neural network and optimization of operating strategy. Journal of Building Engineering111182-111182. Zhang Lianying Shan Jiaquan Bai Qian Zhang Zhaoxin Zhang Siyuan Cui Xin Yang Xiaohu ( 2024 ). Energy efficiency prediction of refrigerating station system based on BP neural network and optimization of operating strategy . Journal of Building Engineering 111182 - 111182 . Search in Google Scholar