Forecasting model for energy consumption in South Africa correlated with the income
- Authors: Siti, M. W. , Nicolae, Dan-Valentin , Jimoh, Adisa A.
- Date: 2008
- Subjects: Electric power consumption , Energy consumption
- Language: English
- Type: Conference proceedings
- Identifier: http://ujcontent.uj.ac.za8080/10210/372690 , http://hdl.handle.net/10210/18828 , uj:16048 , Citation: Siti, M.W., Nicolae, D.V. & Jimoh, A.A. 2008. Forecasting model for energy consumption in South Africa correlated with the income. Conference proceedings of the IASTED International Conference on Power and Energy Systems, 8-10 September, Gaborone, Botswana.
- Description: Abstract This paper presents a mathematical model that forecasts the energy consumption in South Africa. The model is correlated to the income of the consumers. The study made use of the real energy consumption audit in South Africa. The mathematical model in this work is developed around the variables identified from the survey. The model can be applied to other utilities worldwide with some modifications in the influencing parameter values. The model developed was used to study the effect of certain indices; such as society, personality, and fixed contribution index on the electricity consumption. Different results obtained and presented in this work clearly show that the income is a major determinant of energy consumption.
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LV self balancing distribution network configuration for minimum losses
- Authors: Nicolae, Dan-Valentin , Siti, M. W. , Jimoh, A. A.
- Date: 2009
- Subjects: Distribution systems , Electric networks , Low voltage systems
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/21377 , uj:16144 , ISBN: 978-1-4244-2235-7 , Citation: Nicolae, D.V., Siti, M.W. & Jimoh, A.A. 2009. LV self balancing distribution network configuration for minimum losses. Proceedings of the IEEE PowerTech Conference, 26-02 July, 2009, Bucharest, Romania. DOI: 10.1109/PTC.2009.5282233
- Description: Abstract: please refe to full text to view abstract Please refer to full text to view abstract
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Phase load balancing in the secondary distribution network using fuzzy logic
- Authors: Siti, M. W. , Jimoh, A. A. , Nicolae, Dan-Valentin
- Date: 2007
- Subjects: Circuit breakers , Transmission
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/20257 , uj:16084 , ISBN:078038606x , Citation: Siti, M.W., Jimoh, A.A. & Nicolae, D.-V. 2007. Phase load balancing in the secondary distribution network using fuzzy logic. IEEE AFRICON’07, Windhoek, Namibia, 26-28 September, 2007:1-7. DOI:10.1109/AFRCON.2007.4401569
- Description: Abstract: The electrical network system is to ensure that an adequate supply is available to meet the estimated load of the consumers in both the near and more distant future. This must of course, be done for minimum possible cost consistent with satisfactory reliability and quality of the supply. In order to avoid excessive voltage drop and minimize loss, it may be economical to install apparatus to balance or partially balance the loads. It is believed that the technology to achieve an automatic load balancing lends itself readily for the implementation of different types of algorithms for automatically rearranging the connection of consumers on the low voltage and of a feeder for optimal performance. In this paper the fuzzy logic is been implemented to balance the load in the secondary part of the transformer
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The use of support vector machine for phase balancing in the distribution feeder
- Authors: Siti, M. W. , Jimoh, A. A. , Jordaan, J. A. , Nicolae, Dan-Valentin
- Date: 2007
- Subjects: Electric power transmission , Distribution channels
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/21374 , uj:16146 , ISSN: 0302-9743 , Citation: Siti, M.W. et al. 2007. The use of support vector machine for phase balancing in the distribution feeder. ICONIP 2007, Neural Information Processing Lecture Notes in Computer Science, 4985:721-729 , DOI:10.1007/978354069162475
- Description: Abstract: Phase voltage and current unbalances in power system distribution networks are major factors leading to extra losses, communication interference, equipment overloading, and malfunctioning of the protective relay, which consequently results in service quality and operation efficiency being reduced. As a better alternative to the traditional practices of manual trial and error, and the contemporary solution technique of network reconfiguration or load rearrangement, this paper investigates and proposes a novel method that is based on the use of the historical data and artificial intelligence for eliminating or minimizing phase unbalance problems. The proposed method is based on support vector machine
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