Abstract: Precipitation forecasting, encompassing high-resolution regional and accurate intensity forecasting, has long been a central focus in the artificial intelligence (AI) field. Generally, AI ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
ABSTRACT: This study explores the application of a forecasting approach based on the naïve method to optimize the logistical performance of the national BTS examinations in the Douala Examination ...
A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool, created with federal support by researchers at Johns Hopkins and Duke ...
An AI weather program running for a single second on a desktop can match the accuracy of traditional forecasts that take hours or days on powerful supercomputers, claim its creators. Weather ...
Abstract: Increasing global awareness of environmental protection has heightened concerns over global warming. Renewable energy sources (RESs), notably solar power, play a crucial role in reducing ...
1 University Institute of Technology, University of Douala, Douala, Cameroon. 2 Higher Institute of Transport, Logistics and Commerce, The University of Ebolowa, Ambam, Cameroon. 3 Energy ...
This issue serves as a discussion topic, summarizing the current state of reconciliation methods in sktime, identifying which methods are missing, and suggesting potential improvements for user ...
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