Forecasting Hydropower Generation in Ghana Using ARIMA Models
نویسندگان
چکیده
In this study, an Autoregressive Integrated Moving Average (ARIMA) model was used to forecast Ghana’s Akosombo dam level and hydropower generation by the end of year 2022. Data for study span from January 2010 December 2019. Base on final ARIMA model, power is forecasted decrease 398 Megawatts/hr in 2019 approximately 374 On other hand, water predicted marginally 264.8 ft 255.19 The Volta River Authority (VRA) managers electricity production Ghana are encouraged be proactive expanding energy turning more renewable sources. coming years, as they seek provide sustainable their cherished customers, investment decisions should directed towards protecting volta river drying up due human climatic activities well mix.
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ژورنال
عنوان ژورنال: International Journal of Statistics and Probability
سال: 2022
ISSN: ['1927-7032', '1927-7040']
DOI: https://doi.org/10.5539/ijsp.v11n5p30