Publication detail

AI Enabled Energy Demand Forecasting with LSTM Neural Networks on Smart Grid Data

Peer-reviewed paper (November 2025). Citation details, DOI, and BibTeX below.

Citation details

Publication record.

Authors: Olanrewaju, S. A., Olayinka, H. M., Ekechi, C. C., Samuel, A. A., Akadiri, O. O., Stephen, V. I., & Thanni, A. A.

Journal: International Journal of Future Engineering Innovations, 2(6), 1–8

Year: 2025

DOI: 10.54660/IJFEI.2025.2.6.01-08

Overview

What the paper covers.

LSTM neural networks applied to smart grid data to forecast energy demand.

Deep learningLSTMEnergy forecasting

Citation and BibTeX

Cite this paper.

APA citation and BibTeX, ready to copy. Citation counts are on Google Scholar.

Citation: Olanrewaju, S. A., Olayinka, H. M., Ekechi, C. C., Samuel, A. A., Akadiri, O. O., Stephen, V. I., & Thanni, A. A. (2025). AI Enabled Energy Demand Forecasting with LSTM Neural Networks on Smart Grid Data. International Journal of Future Engineering Innovations, 2(6), 1–8. https://doi.org/10.54660/IJFEI.2025.2.6.01-08

@article{olanrewaju2025aienabledenergydem,
  title={AI Enabled Energy Demand Forecasting with LSTM Neural Networks on Smart Grid Data},
  author={Olanrewaju, S. A. and Olayinka, H. M. and Ekechi, C. C. and Samuel, A. A. and Akadiri, O. O. and Stephen, V. I. and Thanni, A. A.},
  journal={International Journal of Future Engineering Innovations},
  volume={2},
  number={6},
  pages={1--8},
  year={2025},
  doi={10.54660/IJFEI.2025.2.6.01-08}
}