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A direct and relatively simple method to cut down computational runtime in forecast software by up to 86.

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第一作者： Bafnoti G,Gabra

第一单位： BSc. of production, energy and automatic control engineering, (French university in Egypt) M.Sc. of mechanical engineering, ENSISA, Mulhouse, France.

作者： Bafnoti G,Gabra ^[1] ; Bichoy G,Gabra ^[2]

作者单位： BSc. of production, energy and automatic control engineering, (French university in Egypt) M.Sc. of mechanical engineering, ENSISA, Mulhouse, France. ^[1] MSc. of Energy and Solar buildings, France. ^[2]

关键词 Application-specific software Artificial intelligence Forecasting Machine learning Optimization Program execution time Python applications Software runtime

DOI 10.1016/j.mex.2025.103608

PMID 41492531

发布时间 2026-01-06

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A direct and relatively simple method to cut down computational runtime in forecast software by up to 86.

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