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Abstract Electricity is becoming an important commodity in Cameroon. Within the years, its consumption and production have led to many studies. Hence, having an idea on its progression is one of research’ concerns. Thus, this paper aims to develop a model for forecasting electricity production and consumption in Cameroon based on Long Short-Term Memory (LSTM). Indeed, the LSTM approach, showing a good ability to grab the long-term dependencies between time steps of electricity production and consumption, allows a good prediction in 2030 of 7178GWh for consumption with 0.067 RMSE and 0.2965% MAPE and 8686GWh for production with 0.1631 RMSE and 0.4291%MAPE. Hence, the proposed model is more reliable, what makes possible to monitor the growth in electricity supply and demand, falling to the study of balance in Cameroon. Downloads Download data is not yet available. Downloads FULL TEXT Published 2022-07-19 How to Cite Mbasso, W. F., Molu, R. J. J., Naoussi, S. R. D., & Kenfack, S. (2022). Demand-Supply Forecasting based on Deep Learning for Electricity Balance in Cameroon. International Journal of Energy Economics and Policy, 12(4), 99–103. https://doi.org/10.32479/ijeep.13092 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 12 No. 4 (2022) Section Articles License Submission of an article implies that the work described has not been published previously , that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication. Most read articles by the same author(s) Reagan Jean Jacques Molu, Wulfran Fendzi Mbasso, Serge Raoul Dzonde Naoussi, Saatong Tsobze Kenfack, Patrice Wira, Investigating the Dependency between Electricity and the Human Development Based on Metaheuristic Optimization , International Journal of Energy Economics and Policy: Vol. 12 No. 5 (2022) Make a Submission Make a Submission Dergi Kapağı

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