ORCID verified
1 Jan 2026Open access
A Novel Hybrid Platform Based on Deep Learning for Fault Detection and Localization in a Smart Distribution GridPublisher siteJournal of Electrical and Computer Engineering, Power Systems Fault Detection
Active, last published 2026
In energy load and power forecasting
Vinny Junior Foba
Kakeu
Pioneer
Scholar
Expert“Research focused on Energy Load and Power Forecasting and adjacent fields.”
8
H-index
199
Citations
This profile has been officially claimed and verified.
Honours
Pioneer
#3270
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
ACTIVE
01 · 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 199 times across 5 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · 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
04 · Where I am
Affiliations
Affiliation on published researchUniversity of Douala, CameroonDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
15 works1 Jan 2026Open access
A Novel Predictive Control Approach Based on Hybrid Deep Learning Algorithm for Photovoltaic Power Forecasting in MicrogridPublisher siteJournal of Electrical and Computer Engineering, Solar Radiation and Photovoltaics
1 Jan 2026Open access
Anomaly Detection in a Smart Grid Using a Novel Hybrid Deep Learning ApproachPublisher siteThe Journal of Engineering, Electricity Theft Detection Techniques
1 Dec 2025Open access1cites
A smart grid fault detection using neuro-fuzzy deep learning algorithmPublisher siteIAES International Journal of Artificial Intelligence, Electricity Theft Detection Techniques
28 May 202444cites
Optimized forecasting of photovoltaic power generation using hybrid deep learning model based on GRU and SVMPublisher siteElectrical Engineering, Solar Radiation and Photovoltaics
20 Apr 2024Open access30cites
Solar photovoltaic generation and electrical demand forecasting using multi-objective deep learning model for smart grid systemsPublisher siteCogent Engineering, Energy Load and Power Forecasting
1 Jan 2024Open access17cites
A Novel Deep Learning‐Based Data Analysis Model for Solar Photovoltaic Power Generation and Electrical Consumption Forecasting in the Smart Power GridPublisher siteApplied Computational Intelligence and Soft Computing, Energy Load and Power Forecasting
1 Jan 2024Open access14cites
Electricity Theft Detection in a Smart Grid Using Hybrid Deep Learning‐Based Data Analysis TechniquePublisher siteJournal of Electrical and Computer Engineering, Electricity Theft Detection Techniques
Interested in this research?
MARATTO™ facilitates research-to-market partnerships between African universities and industry. Book a discovery call to explore collaboration with Vinny Junior Foba Kakeu.