2023Open access
EVALUATING THE PERFORMANCE OF MACHINE LEARNING ALGORITHMS FOR PREDICTING METEOROLOGICAL PARAMETERSIJISCS (International Journal of Information System and Computer Science), Hydrological Forecasting Using AI
Active, last published 2026
In energy load and power forecasting
Yannick
Mubakilayi
“Research focused on Energy Load and Power Forecasting and adjacent fields.”
Université de Kinshasa (UNIKIN)DR Congo
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Claim Your Profile01 · About the work
What I study
annick Mubakilayi 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
Yannick's work has been cited 0 times across 1 active year. 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×1Traffic Prediction and Management Techniques×1Hydrological Forecasting Using AI×1Air Quality Monitoring and Forecasting×1
06 · Where I am
Affiliations
CurrentlyUniversity of Kinshasa, DR Congo
Research themes (UN SDGs)
07 · Selected work
Recent publications
2023Open access
Efficiency of the Combination of Machine Learning Models in the Evaluation of Weather ParametersJurnal CoreIT Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi, Energy Load and Power Forecasting
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