Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This study investigated the environmental factors that influence the reliability of grid electricity at the generation subsystem, in Uganda. The systems reliability theory and the auto regressive distributed lag (ARDL) model were used to estimate the effects of hydrology levels of Lake Victoria and rainfall on both the frequency and duration of power outages on the Ugandan power grid network. Both the short and long run effects were estimated and the findings revealed that hydrology levels of Lake Victoria significantly affected grid electricity reliability in the generation subsystem of the Ugandan power grid network in both the short and long runs. On the other hand, rainfall significantly affected the generation grid electricity reliability in only the short run, implying that rainfall effects on grid electricity reliability on the generation subsystem, do not spill over onto the long run. The study recommends proper management of lake Victoria and other water resources so that reliability of grid electricity at the generation subsystem is not disrupted by the environmental factors under study.
Adella Grace Migisha. 2026. \u201cEnvironmental influences on Electricity Reliability in Uganda’s Grid System.\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 23 (GJRE Volume 23 Issue G3): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 105
Country: Uganda
Subject: Global Journal of Research in Engineering - G: Industrial Engineering
Authors: Adella Grace Migisha, Joseph Ntayi, Faisal Buyinza, Muyiwa S Adaramola, Livingstone Senyonga (PhD/Dr. count: 0)
View Count (all-time): 255
Total Views (Real + Logic): 1155
Total Downloads (simulated): 20
Publish Date: 2026 01, Fri
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This study investigated the environmental factors that influence the reliability of grid electricity at the generation subsystem, in Uganda. The systems reliability theory and the auto regressive distributed lag (ARDL) model were used to estimate the effects of hydrology levels of Lake Victoria and rainfall on both the frequency and duration of power outages on the Ugandan power grid network. Both the short and long run effects were estimated and the findings revealed that hydrology levels of Lake Victoria significantly affected grid electricity reliability in the generation subsystem of the Ugandan power grid network in both the short and long runs. On the other hand, rainfall significantly affected the generation grid electricity reliability in only the short run, implying that rainfall effects on grid electricity reliability on the generation subsystem, do not spill over onto the long run. The study recommends proper management of lake Victoria and other water resources so that reliability of grid electricity at the generation subsystem is not disrupted by the environmental factors under study.
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