Electric Cooperative Power Consumption Forecasting, Decision Support System and Mapping

Electricity is one of the basic needs and it plays an important role in the community in the social and economic development. It is an essential part of our daily lives as well as electrical energy promotes economic well-being and make social life worthwhile. Most electric cooperative encounters difficulty in monitoring the power consumption in their vicinity due to limited number of field personnel. The researcher observed that there is a need for a study on the prediction of electric consumption for Nueva Vizcaya Electric Cooperative (NUVELCO) to establish the trend of future consumption. This study also serve basis in managerial decision making (DSS) such as; advisory to the staff for power line clearing, household inspection, and additional transformer, additional purchased of energy. This paper uses two methods, descriptive research and developmental research to analyzed present data. A Correlation Analysis and Linear Regression Analysis is used between temperature and power consumption, precipitation and electric consumption. This statistical tool is used for prediction for analyzing time series data. The researcher derived power consumption differential equation or models which can be used to determine the growth of the electrical energy consumption. Discriminant Analysis is used in Clustering and classification of a set of observations into subsets in mapping the municipalities of the possible rise and fall of power consumption.