@article{(Open Science Index):https://publications.waset.org/pdf/10013273,
	  title     = {Fast Short-Term Electrical Load Forecasting under High Meteorological Variability with a Multiple Equation Time Series Approach},
	  author    = {Charline David and  Alexandre Blondin Massé and  Arnaud Zinflou},
	  country	= {},
	  institution	= {},
	  abstract     = {We present a multiple equation time series approach for the short-term load forecasting applied to the electrical power load consumption for the whole Quebec province, in Canada. More precisely, we take into account three meteorological variables — temperature, cloudiness and wind speed —, and we use meteorological measurements taken at different locations on the territory. Our final model shows an average MAPE score of 1.79% over an 8-years dataset.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {17},
	  number    = {10},
	  year      = {2023},
	  pages     = {242 - 249},
	  ee        = {https://publications.waset.org/pdf/10013273},
	  url   	= {https://publications.waset.org/vol/202},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 202, 2023},
	}