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Optimization of Short-Term Forecast of Electric Power Demand in the city of Yaoundé-Cameroon by a hybrid model based on the combination of neural networks and econometric methods from a designed energy optimization algorithm

Domaine:

environment and energy

Type de record:

paper
Créateur:
NZOTalDjeAlo
Éditeur:
Elsevier BV
Hôte:

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-licensehttps://doi.org/10.15223/policy-017https://doi.org/10.15223/policy-037https://doi.org/10.15223/policy-012https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-004

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