Stochastic Model of Demand Curve Supported in Consumption Habits of Electric Energy for Residential Sector


This paper shows the methodological aspects to design and develop a stochastic model, which determines the demand curve from variation in energy consumption habits, using a survey that was applied to a group of 114 residential users located at Bogotá-Colombia in South America, in the same socio-economic sector, which is called four stratum. It was chosen because it does not receive any government subsidy; nevertheless, the proposed methodology can be replicated in any residential environment for its random nature. The users were chosen at different places of the city, taking into account aspects related to: knowledge of energy resource, habitual consumption behaviors and behavior regarding electrical energy management. The developed stochastic model shows consumption variations in eight groups of devices that are commonly used in a household. It should be noted that each time that another simulation is performed with same parameters; likewise, it is possible to determine how changes in the consumption habits influence energy’s demand projection for a residential sector. The changing of the energy consumption habits directly impacts on demand curve, but such changes should be based on aspects related to incorporation of dynamic knowledge of energy resource and everything that surrounds it.

Author Information
Adriana Marcela Vega, Universidad Distrital Francisco José de Caldas, Colombia
Francisco Santamaría, Universidad Distrital Francisco José de Caldas, Colombia
Edwin Rivas Trujillo, Universidad Distrital Francisco José de Caldas, Colombia

Paper Information
Conference: IICSEEHawaii2017
Stream: Environmental Sustainability & Human Consumption: Human and Life Sciences

This paper is part of the IICSEEHawaii2017 Conference Proceedings (View)
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Posted by James Alexander Gordon