A Comparative Study of Regressors and Stacked Ensemble Model for Daily Temperature Forecasting: A Case Study of Senegal. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 459 LNICST

Publication Type

Book Chapter

Name of Author

Chimango Nyasulu, University of Gaston Berger (UGB), SenegalFollow

Publication Date (Issue Year)

2023

Journal Name

Pan-African Artificial Intelligence and Smart Systems: Second EAI International Conference, PAAISS 2022, Dakar, Senegal, November 2-4, 2022. Cham: Springer Nature Switzerland.

Abstract

Abstract

Keywords

Keywords

Rsif Scholar Name

Chimango Nyasulu

Rsif Scholar Nationality

Malawi

Cohort

Cohort 2

Thematic Area

ICTs Including Big Data and Artificial Intelligence

Africa Host University (AHU)

University of Gaston Berger (UGB), Senegal

Recommended Citation

Nyasulu, C. (2023). A Comparative Study of Regressors and Stacked Ensemble Model for Daily Temperature Forecasting: A Case Study of Senegal. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 459 LNICST. Pan-African Artificial Intelligence and Smart Systems: Second EAI International Conference, PAAISS 2022, Dakar, Senegal, November 2-4, 2022. Cham: Springer Nature Switzerland., 61-77. https://doi.org/10.1007/978-3-031-25271-6_4