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-Reference-Cited by-同舟云学术

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

Published:2023-02 Issue: Volume:187 Page:122212
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

Dieudonné Nzoko Tayo,Armel Talla Konchou Franck,Hermann Djeudjo Temene,Vidal Aloyem Kaze Claude,René Tchinda

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference37 articles.

1. Adepoju, G. A, Ogunjuyigbe, S. O. A and Alawode, K. O. 2007. Application of neural network to load forecasting in Nigerian electrical power system. Pac. J. Sci. Technol. Vol. 8 Number 1. Pg 68-72.

2. A review of deep learning methods applied on load forecasting;Almalaq,2017

3. A new neural network approach to short term load forecasting of electrical power systems;Amjady;Energies,2011

4. Energy consumption of a building by using long short-term memory network: a forecasting study;Barzola-Monteses,2020

5. Deep learning;Bengio,2016

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Short-term power load forecasting based on Seq2Seq model integrating Bayesian optimization, temporal convolutional network and attention;Applied Soft Computing;2024-11

2. Forecasting electricity consumption in China's Pearl River Delta urban agglomeration under the optimal economic growth path with low-carbon goals: Based on data of NPP-VIIRS-like nighttime light;Energy;2024-05

3. Modified artificial neural network based on developed snake optimization algorithm for short-term price prediction;Heliyon;2024-03

4. Role of Economic Policy Uncertainty in Energy Commodities Prices Forecasting: Evidence from a Hybrid Deep Learning Approach;Computational Economics;2024-02-27

5. Techno-economic and environmental analysis of a hybrid PV/T solar system based on vegetable and synthetic oils coupled with TiO2 in Cameroon;Heliyon;2024-01