Research on Intelligent Recognition Method of Risk Levels of Electricity Marketing Field Operation Types Based on Data Mining

[1] Shahidehpour, M., & Alomoush, M. (2017). Restructured electrical power systems: Operation: Trading, and volatility. CRC Press. ShahidehpourM. & AlomoushM. (2017). Restructured electrical power systems: Operation: Trading, and volatility. CRC Press.Search in Google Scholar

[2] Yang, T., Li, Z., & Qin, J. (2019). AHP-fuzzy comprehensive evaluation of the safety risk in power investment project along “the Belt and Road”. In E3S Web of Conferences (Vol. 118, p. 01039). EDP Sciences. YangT.LiZ. & QinJ. (2019). AHP-fuzzy comprehensive evaluation of the safety risk in power investment project along “the Belt and Road”. In E3S Web of Conferences (Vol. 118, p. 01039). EDP Sciences.Search in Google Scholar

[3] Junliang, W. A. N. G., Yong, L. I., Jianshe, L. I., & Qiyu, C. H. E. N. (2018). Research of safety risk impact and management controls of electric vehicle charging on power grid. Power Generation Technology, 39(5), 405. JunliangW. A. N. G.YongL. I.JiansheL. I. & QiyuC. H. E. N. (2018). Research of safety risk impact and management controls of electric vehicle charging on power grid. Power Generation Technology, 39(5), 405.Search in Google Scholar

[4] Zhou, F., Lu, H., & Jiang, C. (2024). Violation with concerns of safety: A study on non-compliant behavior and the antecedent and consequent effects in power grid construction. Safety science, 170, 106353. ZhouF.LuH. & JiangC. (2024). Violation with concerns of safety: A study on non-compliant behavior and the antecedent and consequent effects in power grid construction. Safety science, 170, 106353.Search in Google Scholar

[5] Oyedele, A., Ajayi, A., Oyedele, L. O., Delgado, J. M. D., Akanbi, L., Akinade, O., ... & Bilal, M. (2021). Deep learning and boosted trees for injuries prediction in power infrastructure projects. Applied Soft Computing, 110, 107587. OyedeleA.AjayiA.OyedeleL. O.DelgadoJ. M. D.AkanbiL.AkinadeO., ... & BilalM. (2021). Deep learning and boosted trees for injuries prediction in power infrastructure projects. Applied Soft Computing, 110, 107587.Search in Google Scholar

[6] Ajayi, A., Oyedele, L., Owolabi, H., Akinade, O., Bilal, M., Davila Delgado, J. M., & Akanbi, L. (2020). Deep learning models for health and safety risk prediction in power infrastructure projects. Risk Analysis, 40(10), 2019-2039. AjayiA.OyedeleL.OwolabiH.AkinadeO.BilalM.Davila DelgadoJ. M. & AkanbiL. (2020). Deep learning models for health and safety risk prediction in power infrastructure projects. Risk Analysis, 40(10), 2019-2039.Search in Google Scholar

[7] Kouchaki, M., Salkhordeh, M., Mashayekhi, M., Mirtaheri, M., & Amanollah, H. (2023, October). Damage detection in power transmission towers using machine learning algorithms. In Structures (Vol. 56, p. 104980). Elsevier. KouchakiM.SalkhordehM.MashayekhiM.MirtaheriM. & AmanollahH. (2023, October). Damage detection in power transmission towers using machine learning algorithms. In Structures (Vol. 56, p. 104980). Elsevier.Search in Google Scholar

[8] Hou, H., Yu, S., Wang, H., Huang, Y., Wu, H., Xu, Y., ... & Geng, H. (2019). Risk assessment and its visualization of power tower under typhoon disaster based on machine learning algorithms. Energies, 12(2), 205. HouH.YuS.WangH.HuangY.WuH.XuY., ... & GengH. (2019). Risk assessment and its visualization of power tower under typhoon disaster based on machine learning algorithms. Energies, 12(2), 205.Search in Google Scholar

[9] Liu, J., Chen, C., Liu, Z., Jermsittiparsert, K., & Ghadimi, N. (2020). An IGDT-based risk-involved optimal bidding strategy for hydrogen storage-based intelligent parking lot of electric vehicles. Journal of Energy Storage, 27, 101057. LiuJ.ChenC.LiuZ.JermsittiparsertK. & GhadimiN. (2020). An IGDT-based risk-involved optimal bidding strategy for hydrogen storage-based intelligent parking lot of electric vehicles. Journal of Energy Storage, 27, 101057.Search in Google Scholar

[10] Yüksel, S., Eti, S., Dinçer, H., & Gökalp, Y. (2024). Comprehensive risk analysis and decision-making model for hydroelectricity energy investments. Journal of Soft Computing and Decision Analytics, 2(1), 28-38. YükselS.EtiS.DinçerH. & GökalpY. (2024). Comprehensive risk analysis and decision-making model for hydroelectricity energy investments. Journal of Soft Computing and Decision Analytics, 2(1), 28-38.Search in Google Scholar

[11] Jabir, H. J., Teh, J., Ishak, D., & Abunima, H. (2018). Impacts of demand-side management on electrical power systems: A review. Energies, 11(5), 1050. JabirH. J.TehJ.IshakD. & AbunimaH. (2018). Impacts of demand-side management on electrical power systems: A review. Energies, 11(5), 1050.Search in Google Scholar

[12] Shakeri, M., Shayestegan, M., Abunima, H., Reza, S. S., Akhtaruzzaman, M., Alamoud, A. R. M., ... & Amin, N. (2017). An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid. Energy and Buildings, 138, 154-164. ShakeriM.ShayesteganM.AbunimaH.RezaS. S.AkhtaruzzamanM.AlamoudA. R. M., ... & AminN. (2017). An intelligent system architecture in home energy management systems (HEMS) for efficient demand response in smart grid. Energy and Buildings, 138, 154-164.Search in Google Scholar

[13] Hu, J., Harmsen, R., Crijns-Graus, W., Worrell, E., & van den Broek, M. (2018). Identifying barriers to large-scale integration of variable renewable electricity into the electricity market: A literature review of market design. Renewable and sustainable energy reviews, 81, 2181-2195. HuJ.HarmsenR.Crijns-GrausW.WorrellE. & van den BroekM. (2018). Identifying barriers to large-scale integration of variable renewable electricity into the electricity market: A literature review of market design. Renewable and sustainable energy reviews, 81, 2181-2195.Search in Google Scholar

[14] Chaudhari, K., Ukil, A., Kumar, K. N., Manandhar, U., & Kollimalla, S. K. (2017). Hybrid optimization for economic deployment of ESS in PV-integrated EV charging stations. IEEE Transactions on Industrial Informatics, 14(1), 106-116. ChaudhariK.UkilA.KumarK. N.ManandharU. & KollimallaS. K. (2017). Hybrid optimization for economic deployment of ESS in PV-integrated EV charging stations. IEEE Transactions on Industrial Informatics, 14(1), 106-116.Search in Google Scholar

[15] Amicucci, G. L., & Settino, M. T. (2017, June). Accidents with injuries or death during non-electrical work activities near overhead power lines. In 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-6). IEEE. AmicucciG. L. & SettinoM. T. (2017, June). Accidents with injuries or death during non-electrical work activities near overhead power lines. In 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1-6). IEEE.Search in Google Scholar

[16] Ajayi, A., Oyedele, L., Akinade, O., Bilal, M., Owolabi, H., Akanbi, L., & Delgado, J. M. D. (2020). Optimised big data analytics for health and safety hazards prediction in power infrastructure operations. Safety science, 125, 104656. AjayiA.OyedeleL.AkinadeO.BilalM.OwolabiH.AkanbiL. & DelgadoJ. M. D. (2020). Optimised big data analytics for health and safety hazards prediction in power infrastructure operations. Safety science, 125, 104656.Search in Google Scholar

[17] Xiang, Y., & Lin, P. (2023). Ruinan An, et al. Full participation flat closed-loop safety management method for offshore wind power construction sites. J Intell Constr, 1, 9180006. XiangY. & LinP. (2023). Ruinan An, et al. Full participation flat closed-loop safety management method for offshore wind power construction sites. J Intell Constr, 1, 9180006.Search in Google Scholar

[18] Yin, Z., Su, Y., Luo, G., Xia, Y., Huang, Y., & Zhang, Q. (2020, November). Theoretical research based on the application of safety information management in power construction site. In 2020 IEEE Sustainable Power and Energy Conference (iSPEC) (pp. 1804-1809). IEEE. YinZ.SuY.LuoG.XiaY.HuangY. & ZhangQ. (2020, November). Theoretical research based on the application of safety information management in power construction site. In 2020 IEEE Sustainable Power and Energy Conference (iSPEC) (pp. 1804-1809). IEEE.Search in Google Scholar

[19] Sadeghi-Yarandi, M., Torabi-Gudarzi, S., Asadi, N., Golmohammadpour, H., Ahmadi-Moshiran, V., Taheri, M., ... & Alimohammadi, B. (2023). Development of a novel Electrical Industry Safety Risk Index (EISRI) in the electricity power distribution industry based on fuzzy analytic hierarchy process (FAHP). Heliyon, 9(2). Sadeghi-YarandiM.Torabi-GudarziS.AsadiN.GolmohammadpourH.Ahmadi-MoshiranV.TaheriM., ... & AlimohammadiB. (2023). Development of a novel Electrical Industry Safety Risk Index (EISRI) in the electricity power distribution industry based on fuzzy analytic hierarchy process (FAHP). Heliyon, 9(2).Search in Google Scholar

[20] Park, J., Kim, K., & Cho, Y. K. (2017). Framework of automated construction-safety monitoring using cloud-enabled BIM and BLE mobile tracking sensors. Journal of Construction Engineering and Management, 143(2), 05016019. ParkJ.KimK. & ChoY. K. (2017). Framework of automated construction-safety monitoring using cloud-enabled BIM and BLE mobile tracking sensors. Journal of Construction Engineering and Management, 143(2), 05016019.Search in Google Scholar

[21] Hao Miao Wang & Wang Hao Miao. (2020). Research On Data Mining Algorithm In Power Marketing Analysis. Journal of Physics: Conference Series(1),012002-. WangHao Miao & MiaoWang Hao. (2020). Research On Data Mining Algorithm In Power Marketing Analysis. Journal of Physics: Conference Series(1),012002-.Search in Google Scholar

[22] Harish Kumar Pamnani,Linesh Raja & Thom Ives. (2024). Developing a novel H-Apriori algorithm using support-leverage matrix for association rule mining. International Journal of Information Technology (prepublish), 1-11. PamnaniHarish KumarRajaLinesh & IvesThom. (2024). Developing a novel H-Apriori algorithm using support-leverage matrix for association rule mining. International Journal of Information Technology (prepublish), 1-11.Search in Google Scholar

[23] Liu Keyang,Cai Baoping,Wu Qibing,Chen Mingxin,Yang Chao,Khan Javed Akbar... & Liu Yonghong. (2023). Risk identification and assessment methods of offshore platform equipment and operations. Process Safety and Environmental Protection1415-1430. KeyangLiuBaopingCaiQibingWuMingxinChenChaoYangAkbarKhan Javed... & YonghongLiu. (2023). Risk identification and assessment methods of offshore platform equipment and operations. Process Safety and Environmental Protection1415-1430.Search in Google Scholar

[24] Li Xue,Oh Poong,Zhou Yusheng & Yuen Kum Fai. (2023). Operational risk identification of maritime surface autonomous ship: A network analysis approach. Transport Policy1-14. XueLiPoongOhYushengZhou & FaiYuen Kum. (2023). Operational risk identification of maritime surface autonomous ship: A network analysis approach. Transport Policy1-14.Search in Google Scholar