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The impact of artificial intelligence (AI) on the electrical systems in Buea –Cameroon
(İstanbul Gelişim Üniversitesi Lisansüstü Eğitim Enstitüsü, 2024) Tarhebai, Caleb Enow
The aim of this study is to investigate the impact of artificial intelligence (AI) on the energy sector in Buea, Cameroon. This study adopted a cross-sectional research design. The source of the data for this study was collected by distributing a questionnaire to 333 participants sampled through simple purpose sampling. Inferential statistics were used for analysis, and graphs, tables, frequencies, percentages, averages and standard deviations were used to explain the statistics. Research results show that 34.2% of energy changes can be predicted by artificial intelligence (AI). In particular, ENEO experts in Cameroon and families in the city of Buea had a positive/significant value of 0.706 regarding energy efficiency; ENEO Cameroon and non-standard energy supply (PPP) of households in Buea city has a positive/significant impact of 0.254 energy, 0.070 energy at the same time. Based on the findings, the study concluded that the combination of experts, fuzzy systems and non-standard electronic devices leads to success in the fire force. This study recommends that ENEO Cameroon and its family should strengthen the use of specialists, fuzzy systems and the use of non-standard energy sources for monitoring fire energy electricity.