Publications

Peer-reviewed and preprint research in energy forecasting, public health, machine learning, and time-series analysis.

Selected works

  • Leakage-aware benchmarking of temporal data preparation for hourly energy forecasting

    Sesay, M. M. (2026). Energy Conversion and Management: X, 30, Article 101791.

    Read the article · DOI: 10.1016/j.ecmx.2026.101791

  • 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.

    Read the article · DOI: 10.1371/journal.pgph.0005404

  • 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.

    Read the preprint · DOI: 10.64898/2026.03.11.26348121

  • 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.

    Read the article · DOI: 10.1186/s42162-026-00635-8

  • 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.

    Read the article · DOI: 10.28919/cmbn/9839

  • 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.

    Read the preprint · DOI: 10.1101/2025.10.20.25338419

  • Multi-Scale Transformer Framework for Explainable Medium-Term Household Energy Forecasting

    Sesay, M. M., Ngunyi, A., & Imboga, H. (2025). Preprint.

    Read the preprint · DOI: 10.22541/au.176005132.26391639/v1

Research identifier

ORCID: 0009-0009-5442-9949