Data-Driven Load Forecasting Method for 10 kV Distribution Lines
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0553-9_1
Reference7 articles.
1. Ananthapadmanabha, T., Veeresha, A.G., Kumar, M.: An adaptive power system management with DG placement and cluster-based load forecasting by CS, K-means and ANN algorithms. Int. J. Power Electron. 13(3), 380 (2021)
2. Junqi, Y.U., Wang, J., Zhao, A.: Short-term load forecasting based on AP similar days and FISOA-RBF. Shenzhen Daxue Xuebao (Ligong Ban)/J. Shenzhen Univ. Sci. Eng.38(3), 315–323 (2021)
3. Rueda, F.D., Alejandro, D.: Short-term load forecasting using encoder-decoder wavenet: application to the french grid. Energies 14(9), 2524 (2021)
4. Ngoc, T.T., Dai, L.V., Thuyen, C.M.: Support vector regression based on grid search method of hyperparameters for load forecasting. Acta Polytechnica Hungarica 18(2), 143–158 (2021)
5. Kwon, B.S., Bae, D.J., Moon, C.H.: Load forecasting algorithm for special days by considering temperature sensitivity and BTM estimation. Trans. Korean Inst. Electr. Eng. 70(2), 290–296 (2021)
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