Residential Electricity Load Scenario Prediction Based on Transferable Flow Generation Model
Author:
Funder
Natural Science Foundation of Jilin Province
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42835-022-01172-6.pdf
Reference23 articles.
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3. Ahmad A, Javaid N, Guizani M, Alrajeh N, Khan ZA (2017) An accurate and fast converging short-term load forecasting model for industrial applications in a smart grid. IEEE Trans Ind Inform 13(5):2587–2596
4. Hippert HS, Pedreira CE, Souza RC (2001) Neural networks for short-term load forecasting: a review and evaluation. IEEE Trans Power Syst 16(1):44–55
5. Jufri FH, Oh S, Jung J (2019) Day-ahead system marginal price forecasting using artificial neural network and similar-days information. J Electr Eng Technol 14:561–568
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