Prediction of an Optimal Energy Usage Pattern Based on Occupant Behavior and Ambient Changes in Academic Buildings: A Case Study

Shamsunnahar, Fowzia

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dc.contributor.author	Shamsunnahar, Fowzia
dc.date.accessioned	2023-04-10T08:32:10Z
dc.date.available	2023-04-10T08:32:10Z
dc.date.issued	2022-06-30
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dc.identifier.uri	http://hdl.handle.net/123456789/1826
dc.description	Supervised by Prof. Dr. Khondokar Habibul Kabir, Department of Electrical and Electronic Engineering (EEE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.description.abstract	The fast economic development and population growth in developing countries is one of the main reasons for the increase in energy consumption worldwide. So, meeting up to the energy demand is becoming strenuous. This study focuses on the energy consumption pattern and prediction of an optimal energy usage pattern of an academic building due to occupant behavior and weather changes. Different energy usage pattern due to occupant behavior and ambient changes is analyzed. An optimal energy usage pattern due to different occupant behavior and weather changes is predicted. Three scenarios (All-on Scenario (current scenario), Random Scenario (proposed scenario) and Sequential Scenario (proposed scenario)) have been considered to analyze different energy usage pattern of appliances in an academic building. Different algorithms such as Exponential Smoothing, Auto-Regressive Moving Average (ARMA) and Auto-Regressive Integrated Moving Average (ARIMA) are used for the prediction. It has been observed that ARIMA has provided relatively better result than the other two. Therefore, ARIMA model is used for prediction of the energy demand for the next six years. The research findings demonstrate that the Sequential Scenario is the optimal energy usage pattern. Simulation result shows that if an academic building uses the Sequential Scenario it can save more than 5 lac taka per year. This study provides a guideline for the university authority as to how they can reduce their power consumption as well as consumption cost.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Electronic Engineering(EEE), Islamic University of Technology(IUT),	en_US
dc.subject	ARIMA, ARMA, Occupant Behavior	en_US
dc.title	Prediction of an Optimal Energy Usage Pattern Based on Occupant Behavior and Ambient Changes in Academic Buildings: A Case Study	en_US
dc.type	Thesis	en_US