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  • Search: person:"Voufo, Joseph"
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Year of publication
Subject
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Neural networks 2 Neuronale Netze 2 Regression analysis 2 Regressionsanalyse 2 Theorie 2 Theory 2 Artificial neural network 1 Cameroon 1 Central Africa 1 Decision tree 1 Electricity 1 Electricity supply 1 Elektrizität 1 Energiekonsum 1 Energy consumption 1 Energy policy 1 Entscheidungsbaum 1 Estimation 1 Household 1 Hydropower 1 Information dissemination 1 Information flow management 1 Information value 1 Informationsverbreitung 1 Informationswert 1 Lieferkette 1 Medium Voltage (MV) 1 Privater Haushalt 1 Production chain model 1 Regression algorithms 1 Renewable energy 1 Schätzung 1 Solar power 1 Supply chain 1 Value of information 1 electricity failures 1 fault diagnosis 1 operation parameters 1
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Online availability
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Free 3 CC license 1 Undetermined 1
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2 Undetermined 2
Author
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Voufo, Joseph 4 Kenfack, Joseph 2 Biyeme, Florent 1 Bossou, Olivier Videme 1 Chana, Anne Marie 1 Djom, Samuel 1 Mbakop, André Marie 1 Meva'a, Jean Raymond Lucien 1 Ngohe Ekam, Paul Salomon 1 Nsangou, Jean Calvin 1 Nzotcha, Urbain 1 Tamo Tatietse, Thomas 1 Tatietse, Thomas Tamo 1
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Published in...
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Energies 1 Renewable Energy 1 Supply chain analytics 1
Source
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ECONIS (ZBW) 2 RePEc 2
Showing 1 - 4 of 4
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An analytical model for analyzing the value of information flow in the production chain model using regression algorithms and neural networks
Biyeme, Florent; Mbakop, André Marie; Chana, Anne Marie; … - In: Supply chain analytics 2 (2023), pp. 1-9
Managing information flow has always been a challenging and critical driver of performance increase in manufacturing companies. Each bit of information related to the manufacturing process has an information flow value that can impact the process. Recent studies have focused on the traditional...
Persistent link: https://www.econbiz.de/10014516483
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Explaining Household Electricity Consumption Using Quantile Regression, Decision Tree and Artificial Neural Network
Nsangou, Jean Calvin; Kenfack, Joseph; Nzotcha, Urbain; … - 2022
In order to be able to develop effective energy policies based on accurate projections, the search for better consumption modeling options is nowadays the focus of many researchers. Given the emerging use of quantile regression, decision tree and artificial neural network models for energy...
Persistent link: https://www.econbiz.de/10013295820
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Fault Diagnosis on Medium Voltage (MV) Electric Power Distribution Networks: The Case of the Downstream Network of the AES-SONEL Ngousso Sub-Station
Tatietse, Thomas Tamo; Voufo, Joseph - In: Energies 2 (2009) 2, pp. 243-257
An analysis of the Medium Voltage (MV)electricity power distribution network operated by Cameroon’s AES-SONEL company shows that losses are very high due to energy which is produced but not distributed and that the duration of power interruptions as a result of these faults is long due to the...
Persistent link: https://www.econbiz.de/10010668107
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Addressing the current remote area electrification problems with solar and microhydro systems in Central Africa
Kenfack, Joseph; Bossou, Olivier Videme; Voufo, Joseph; … - In: Renewable Energy 67 (2014) C, pp. 10-19
Situated at equator level, Central Africa is a wetted area, sunny and not that windy. The region owns important renewable energy potential, namely solar, hydro and biomass. For a number of reasons, this important potential is still suffering from poor development. The main cause of the poor use...
Persistent link: https://www.econbiz.de/10010805341
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