Electricity Power Consumption Prediction With The Monte Carlo Simulation: Case Study Universitas Widya Dharma Pontianak

Predicting electricity consumption for buildings has been a concern lately, as it accounts for 39% of total electricity consumption. One of the buildings that uses a lot of electricity is the campus building. Various methods are being developed and carried out in response to the fossil energy crisis...

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Bibliographic Details
Published in2023 14th International Conference on Information & Communication Technology and System (ICTS) pp. 176 - 181
Main Authors Hoendarto, Genrawan, Saikhu, Ahmad, Ginardi, Raden Venantius Hari
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.10.2023
Subjects
Behavioral sciences
Buildings
Campus Building
Electricity Consumption
Mathematical models
Monte Carlo methods
Monte Carlo Simulation
Power demand
Prediction
Predictive models
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Summary:Predicting electricity consumption for buildings has been a concern lately, as it accounts for 39% of total electricity consumption. One of the buildings that uses a lot of electricity is the campus building. Various methods are being developed and carried out in response to the fossil energy crisis to save electricity consumption. Before taking steps to reduce the use of electricity, it is necessary to predict its use. Monte Carlo simulation is a good option for predicting electricity consumption. The dataset used in this study was collected over the past year and recorded several times a day. According to the lecture days, the data used is only from Monday to Friday. Since the recording is done randomly over a day, we preprocess the data using tree regression. After the data pre-processing stage produces data in minutes, the last stage is the quartile search process to find the hourly average.
DOI:10.1109/ICTS58770.2023.10330846