Use of Artificial Intelligence for Modeling the Flows of the Kalamu River and the Congo River at Boma for Energy Security
Publication Date : 25/02/2026
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Abstract :
Water resource assessment is crucial in the face of growing energy and environmental security challenges. This study focuses on the feasibility of installing a pumped-storage hydroelectric system in Boma, Democratic Republic of Congo, in response to frequent power outages. Objectives include modeling the river of the Kalamu and Congo Rivers to determine the project's viability. To do this, historical data on river levels, collected between 1960 and 2017, as well as precipitation and evaporation data collected between 1992 and 2023, were analyzed, taking into account the lack of flow data on the Kalamu River, using artificial intelligence methods, including the Random Forest approach. The results show significant fluctuations in flow rates, with periods of prolonged drought affecting water availability for the project. The study highlights significant challenges related to water resource management, including flow variability, which may compromise the effectiveness of the proposed system. It is recommended that Congo River flows be considered as a viable alternative while integrating sustainable water resource management strategies to meet local needs.
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