Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/71022
Title: Design of energy consumption forecast and visualization for university campus
Authors: Lim, Jun Da
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electric power
Issue Date: 2017
Abstract: An important problem for electrical utility companies is to forecast the future demand for electricity, as excess power generated cannot be easily stored. The challenge in forecasting is that the demand of each user connected to the grid is constantly changing and hard to predict. Creating accurate forecasts allow the utility companies to optimize the amount of power to produce and how to produce it to meet the correct peak demand, thereby minimizing production cost and negative environmental impact, while also maximizing their profit. In this project, the language R and Shiny will be used to perform the predictive analysis and to create a User Interface (UI). The user will be able to visualize the load profiles and analyze the prediction results, the results can also be copy/print/download to other applications for further analysis.
URI: http://hdl.handle.net/10356/71022
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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