A Simple Computational Approach to Predict Long-Term Hourly Electric Consumption
Author:
Affiliation:
1. Computer Science Department, Metropolitan College, Boston University, Boston, MA 02215, USA
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/68/1/59/pdf
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3. Lifestyle factors in US residential electricity consumption;Sanquist;Energy Policy,2012
4. Agrawal, R.K., Muchahary, F., and Tripathi, M.M. (2018, January 8–9). Long term load forecasting with hourly predictions based on long-short-term-memory networks. Proceedings of the 2018 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA.
5. A novel multi-time-scale modeling for electric power demand forecasting: From short-term to medium-term horizon;Boroojeni;Electr. Power Syst. Res.,2017
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