Modelling the Impact and Effects of Climatic Variability on Electricity Energy Consumption in the Yendi Municipality of Ghana
| العنوان: | Modelling the Impact and Effects of Climatic Variability on Electricity Energy Consumption in the Yendi Municipality of Ghana |
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| المؤلفون: | Wahab A. Iddrisu, Khalid Abdul-Mumin, Sampson T. Appiah, Abdul-Rahman Abdul-Samed |
| المصدر: | Open Journal of Energy Efficiency. :1-13 |
| بيانات النشر: | Scientific Research Publishing, Inc., 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Consumption (economics), Industrialisation, Granger causality, Work (electrical), business.industry, Electric potential energy, Environmental science, Electricity, Energy consumption, business, Agricultural economics, Vector autoregression |
| الوصف: | One of the cherished assets of every economy is electricity since it has proven to be the major source of energy for industrialization. Developing economies like Ghana have suffered the downside of poor management of the already inadequate electrical energy at its disposal. This is as a result of limited research into factors that influences electricity energy consumption, most importantly, the effects of climatic variables on electricity energy consumption. This research work explores the causal connection between climatic variables and electricity energy consumption, and develops a Vector Auto Regression (VAR) model to determine the influence of the climatic variables in forecasting electricity energy consumption in Yendi Municipality in the northern region of Ghana. The climatic factors considered in this work are; Rainfall (Rain), maximum temperature (Tmax), Sunshine (Sun), Wind (wind) and Relative Humidity (RH). The Granger causality tests employed in this work revealed that aside from Relative Humidity, the end energy consumption is affected by the other four climatic factors under consideration. The impulse response was used to ascertain the active interaction among electricity energy consumption and the climatic variables. The impulse response of electricity energy consumption to the climatic variables indicates a maximum positive effect of Temperature and Sunshine on electricity energy consumption in March and September respectively. The VAR model was also used in forecasting future consumption of electricity energy. The results indicate excellent forecasts of electricity energy consumption for the first four months of 2019. |
| تدمد: | 2169-2645 2169-2637 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::d94f3ebbfc5d342af963a76c170def86 https://doi.org/10.4236/ojee.2020.91001 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........d94f3ebbfc5d342af963a76c170def86 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21692645 21692637 |
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