Cite
Short-term Load Forecasting of Multi-Energy in Integrated Energy System Based on Multivariate Phase Space Reconstruction and Support Vector Regression Mode.
MLA
Liu, Haoming, et al. “Short-Term Load Forecasting of Multi-Energy in Integrated Energy System Based on Multivariate Phase Space Reconstruction and Support Vector Regression Mode.” Electric Power Systems Research, vol. 210, Sept. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.epsr.2022.108066.
APA
Liu, H., Tang, Y., Pu, Y., Mei, F., & Sidorov, D. (2022). Short-term Load Forecasting of Multi-Energy in Integrated Energy System Based on Multivariate Phase Space Reconstruction and Support Vector Regression Mode. Electric Power Systems Research, 210, N.PAG. https://doi.org/10.1016/j.epsr.2022.108066
Chicago
Liu, Haoming, Yu Tang, Yue Pu, Fei Mei, and Denis Sidorov. 2022. “Short-Term Load Forecasting of Multi-Energy in Integrated Energy System Based on Multivariate Phase Space Reconstruction and Support Vector Regression Mode.” Electric Power Systems Research 210 (September): N.PAG. doi:10.1016/j.epsr.2022.108066.