Seasonal Variation of Power Distribution in Niger State of Nigeria using Markov Model with Non-Stationary Transition Probabilities
This paper presents the application of Markov chain model with non-stationary transition probabilities to study the monthly data of the power distribution in Niger state in the wet, Dry-Hot and Hamatten/Dry- Hot seasons. The result indicates an optimal power distribution of over 150,000MWwith proba...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)
2018-08-01
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| Series: | Journal of Applied Sciences and Environmental Management |
| Subjects: | |
| Online Access: | https://www.ajol.info/index.php/jasem/article/view/175584 |