2023Open access25cites
Fault detection and classification using deep learning method and neuro‐fuzzy algorithm in a smart distribution gridThe Journal of Engineering, Electricity Theft Detection Techniques
Active, last published 2026
In energy load and power forecasting
Vinny Junior Foba
Kakeu
“Research focused on Energy Load and Power Forecasting and adjacent fields.”
University of DoualaCameroon
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Claim Your Profile01 · About the work
What I study
inny Junior Foba Kakeu is a researcher working on Energy Load and Power Forecasting. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Vinny's work has been cited 185 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
05 · Research focus
Topics
Energy Load and Power Forecasting×6Electricity Theft Detection Techniques×6Smart Grid Security and Resilience×5Smart Grid Energy Management×4Solar Radiation and Photovoltaics×3
06 · Where I am
Affiliations
CurrentlyUniversity of Douala, Cameroon
Research themes (UN SDGs)
07 · Selected work
Recent publications
View all 12 works2023Open access
An Intelligent Computational Technique Based on Recurrent Neuro-Fuzzy Combination Applied for Smart Grid Fault DetectionSSRN Electronic Journal, Power Systems Fault Detection
202441cites
Optimized forecasting of photovoltaic power generation using hybrid deep learning model based on GRU and SVMElectrical Engineering, Solar Radiation and Photovoltaics
2024Open access28cites
Solar photovoltaic generation and electrical demand forecasting using multi-objective deep learning model for smart grid systemsCogent Engineering, Energy Load and Power Forecasting
2024Open access15cites
A Novel Deep Learning‐Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power GridApplied Computational Intelligence and Soft Computing, Energy Load and Power Forecasting
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