Publications
Peer-reviewed and preprint research in energy forecasting, public health, machine learning, and time-series analysis.
Selected works
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Leakage-aware benchmarking of temporal data preparation for hourly energy forecasting
Sesay, M. M. (2026). Energy Conversion and Management: X, 30, Article 101791.
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Probabilistic forecasting of monthly dengue cases using epidemiological and climate signals: A BiLSTM-Negative Binomial Model versus Mechanistic and Count-Model Baselines
Sesay, M. M., Ngunyi, A., & Imboga, H. (2026). PLOS Global Public Health, 6(3), e0005404.
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Horizon-dependent forecast ranking under structural change: A rolling-origin benchmark for global COVID-19 incidence
Sesay, M. M., & Wembo, M. S. (2026). medRxiv preprint.
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An explainable hybrid transformer–BiLSTM framework for multivariate household energy demand forecasting with weather integration
Sesay, M. M., Ngunyi, A., & Imboga, H. (2026). Energy Informatics.
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A non-stationary NB–INAR(1) model with time-varying beta–binomial thinning: Properties and rolling estimation
Wembo, M. S., Malenje, B. M., & Sesay, M. M. (2026). Communications in Mathematical Biology and Neuroscience, Article 56.
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Probabilistic forecasting of monthly dengue cases using epidemiological and climate signals: A BiLSTM–Naive Bayes Model versus Mechanistic and Count-Model Baselines
Sesay, M. M., Ngunyi, A., & Imboga, H. (2025). medRxiv preprint.
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Multi-Scale Transformer Framework for Explainable Medium-Term Household Energy Forecasting
Sesay, M. M., Ngunyi, A., & Imboga, H. (2025). Preprint.
Research identifier
ORCID: 0009-0009-5442-9949
