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Modelling and Forecasting Electricity Consumption of the Philippines’

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Modelling and Forecasting Electricity Consumption of the Philippines’
Thesis Concept Paper
Proposed Title: ‘Modelling and Forecasting Electricity Consumption of the Philippines’
Researcher: Alejon P. Padriganda
Degree Program: Bachelor of Science in Applied Mathematics
Adviser: Dennis A. Tarepe Ph.D

Introduction
Backgorund of the Study
In the Philippines, electric power is becoming the main energy form relied upon in all economic sectors of the country. As time goes by, while different establishments and properties were built and developed, the demand for domestic electricity consumption within the country accelerates. Energy consumption is an important index of the economic development of a country. Rapid changes in industry and the economy strongly affect energy consumption. According to the International Energy Annual (IEA) in the year 2004, the Philippines had total installed electricity generating capacity of 15.1 gigawatts (GW). The country produced 53.1 billion kilowatt-hours (Bkwh) of electricity in 2004, while consuming 49.4 Bkwh. Conventional thermal sources make up the largest share of Philippine electricity supply, comprising more than 65 percent of the total in 2004. However, the Philippines is also the world’s second-largest producer of geothermal energy. Despite several electricity sources, there are still bunch of problems that occur such as electricity shortage and high price somewhat due to increase of demand and company expenses. The Philippines is not just the sole country that experiences these specific dilemmas but the other countries in Asia like Lebanon and Saudi Arabia, and the entire world too. This pushes researchers and experts to study the consumption movement from the past years in order for them to learn its behavior and suggest a method to help prepare the power companies and to prevent uncertainties that might happen in the near future. Through the years, there are many ways and methods developed by the experts and one of them is modeling and forecasting. Modelling electric energy



References: Clough, L. (2008). Energy profile of Philippines. The encyclopedia of earth. Aman, S., Ping, H. , & Mubin, M (2011). Modelling and forecasting electricity consumption of Malaysian large steel mills. Scientific Research and Essays Vol. 6 (8), pp. 1817-1830. ISSN 1992-2248. Karabulut, K., Alkan, A., & Yilmaz, A. (2008). Long term energy consumption forecasting using genetic programming. Mathematical and Computational Applications, Vol. 13, No. 2, pp. 71-80. Bianco, V., Manca, O., & Nardini, S. (2009). Electricity consumption forecasting in Italy using linear regression models. Elsevier Ltd. Energy 34 (2009) 1413-1421. Mohamed, Z. & Bodger, P. (2003). Forecasting electricity consumption in New Zealand using economic and demographic variables. Elsevier Ltd. Energy 50 (2004) 1833-1843.

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