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Research Article

Next-Generation Load Forecasting Architecture for Smart Energy Grids

  • Paper ID 15
  • Volume 1, Issue 3
  • Pages: 12-14
  • Published Online: September-December 2024
  • 375 Views
Open Access Peer Reviewed

Authors

  • Balraj Manikaraj1
  • Maheswari.E2
  • Lokesh Panduranganpn3

1 2 UG Students, Department of Electrical and Electronics Engineering, J.K.K. Munirajah College of Technology, Erode, Tamil Nadu, India. 3 Professor, Department of Electrical and Electronics Engineering, J.K.K. Munirajah College of Technology, Erode, Tamil Nadu, India.

Article Information

DOI
No Doi
Published Online
September-December 2024
Pages
12-14
Article Type
Research Article
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References

1. Qiu, X.; Ren, Y.; Suganthan, P.N.; Amaratunga, G.A.J. Empirical mode decomposition-based ensemble deep learning for load demand time
series forecasting. Appl. Soft. Comput. 2017, 54, 246–255.
2. Qiu, X.; Suganthan, P.N.; Amaratunga, G.A.J. Ensemble incremental learning Random Vector Functional Link network for shortterm
electric load forecasting. Knowl.-Based Syst. 2018, 145, 182–196.
3. Chao, T.; Li, J.; Lang, C.; Kong, F.; Niu, J.; Rodrigues, J.J.P.C. An efficient deep model for day-ahead electricity load forecasting with
stacked denoising auto-encoders. J. Parallel Distrib. Comput. 2018, 117, 267–273.
4. Yuan, J.; Farnham, C.; Azuma, C.; Emura, K. Predictive artificial neural network models to forecast the seasonal hourly electricity
consumption for a University Campus. Sustain. Cities Soc. 2018, 42, 82–92.
5. Hamid, M.B.A.; Rahman, T.K.A. Short Term Load Forecasting Using an Artificial Neural Network Trained by Artificial Immune System
Learning Algorithm. In Proceedings of the 12th International Conference on Computer Modeling and Simulation (UKSim), Cambridge,
UK, 24–26 March 2010; pp. 408–413.
6. Wang, J.; Gao, J.; Wei, D. Electric load prediction based on a novel combined interval forecasting system. Appl. Energy 2022, 322, 119420.
7. Li, H.; Guo, S.; Li, C.; Sun, J. A hybrid annual power load forecasting model based on generalized regression neural network with fruit fly
optimization algorithm. Knowl.-Based Syst. 2013, 37, 378–387.
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