This work is licensed under the Creative Commons Attribution 4.0 International License.
Satapathy, P., Mohanty, P. K., Sahu, B. K., & Debnath, M. K. (2022). Introducing thermoelectric generator concept to energy internet approach of electrical power system: modeling analysis and assessment. International journal of energy research(6), 46.Search in Google Scholar
Wang, H., Fang, Y., & Zio, E. (2020). Risk assessment of an electrical power system considering the influence of traffic congestion on a hypothetical scenario of electrified transportation system in new york state. IEEE Transactions on Intelligent Transportation Systems.Search in Google Scholar
He, D., Wei, Y., Cui, S., Hua, W., & Liu, L. (2019). Modeling of broadband power line communication channel based on transmission line theory and radiation loss. IEICE Electronics Express, 16(16).Search in Google Scholar
Lakshmi, S., & Ganguly, S. (2019). An on-line operational optimization approach for open unified power quality conditioner for energy loss minimization of distribution networks. IEEE Transactions on Power Systems, 34(6), 4784-4795.Search in Google Scholar
Qiu, G., Yang, J., Xu, K., & Shi, J. (2020). Dual-wideband filtering power divider based on center-fed three-line coupled structure. International journal of RF and microwave computer-aided engineering(9), 30.Search in Google Scholar
Tomita, M., Fukumoto, Y., Ishihara, A., Suzuki, K., Akasaka, T., & Kobayashi, Y., et al. (2020). Energy analysis of superconducting power transmission installed on the commercial railway line. Energy, 209.Search in Google Scholar
Aizawa, Y., Nakayama, H., Kubomura, K., Nakamura, R., & Tanaka, H. (2020). Theoretical study on lowering loss of skin effect suppressed multi-layer transmission line with positive/negative (cu/nife) permeability materials for high data-rate and low delay-time i/o interface board. AIP Advances, 10(1), -.Search in Google Scholar
Pavii, I., Holjevac, N., Ivankovi, I., & Brnobi, D. (2021). Model for 400 kv transmission line power loss assessment using the pmu measurements. Energies, 14.Search in Google Scholar
Sun, S., Gao, X., Yang, D., Ma, H., & Li, M. (2023). Calculation method of benchmark value of line loss rate in transformer district considering marketing customer portrait. Electric Power Systems Research.Search in Google Scholar
Zhang, X., Tai, N., Wu, P., Fan, C., & Huang, W. (2019). A new theory for locating line fault in power system: theoretical part. IEEE Access, PP(99), 1-1.Search in Google Scholar
Liang, C., Chen, C., Wang, W., Ma, X., Li, Y., & Jiang, T. (2022). Line loss interval algorithm for distribution network with dg based on linear optimization under abnormal or missing measurement data. Energies, 15.Search in Google Scholar
Ferreira, T. S. D., Trindade, F. C. L., & Vieira, J. C. M. (2020). Load flow-based method for nontechnical electrical loss detection and location in distribution systems using smart meters. IEEE Transactions on Power Systems, PP(99), 1-1.Search in Google Scholar
Song, T., Wang, Q., Zhang, S., & Sun, F. (2019). New line-loss management technology of distribution area based on electricity information collection system. The Journal of Engineering.Search in Google Scholar
Wu, W., Zhou, Y., Li, P., Sun, G., & Xu, G. (2020). Survey on negative line loss rate of transformer region: rectification measures and challenges. AIP Advances, 10(4), -.Search in Google Scholar
Li, B., Yan, K., Luo, F., & Lu, Y. (2018). Comprehensive application of optimal benchmarking in line loss lean management of city-level power grid enterprises. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 42(23), 184-191.Search in Google Scholar