<p> The Volta River Authority (VRA) is responsible for the generation
and transmission of power in Ghana. For this purpose, VRA owns
and operates two hydroelectric generating stations (at Akosombo
and Kpong) with a combined installed capacity of 1060 Kw. The
Akosombo plant is served by the Lake Volta Reservoir. Prediction
of inflows into the Volta Lake is one of the important functions
of the reservoir management group.</p> <p>For this project, some of the more recent methods of mathematical modelling are investigated with a view to building a simple stochastic model which adequately represents and forecasts the Volta river average monthly flow. The Box-Jenkins family of
models are employed in this exercise. A parsimonious model in the
form of a seasonal autoregressive integrated moving average
(SARIMA) model is arrived at which adequately models and
forecasts the available data.</p> <p>The selected model is reasonably easy to set up, has few parameters to estimate and therefore making the updating of these parameters a relatively simple task.</p> / Thesis / Master of Engineering (MEngr)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/16789 |
| Date | 12 1900 |
| Creators | Addo, C.K.O. |
| Contributors | Smith, A.A., None |
| Source Sets | McMaster University |
| Language | en_US |
| Detected Language | English |
| Type | Thesis |
Page generated in 0.0112 seconds