Publication: Load demand analysis for high rise residentals of Petaling Jaya
Date
2016
Authors
Ng, Pik San
Journal Title
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Abstract
Algorithms of three different models will be developed to forecast for future electricity consumption using pre-processed monthly metering data from Tenaga Nasional Berhad Distribution database. The selected models are seasonal regression model, seasonal Holt-Winters model and Autoregressive Moving Average model. All three models were selected because their characteristics suit the load profile of high rise residentials. The targeted models will be used to produce estimation of one year ahead consumption to prove that negative trend exist albeit in different magnitude in high rise residentials. The end product of this project is the integration of models into a deployable interface to enhance user friendliness.
Description
TD194.6.N46 2016
Keywords
Environmental impact analysis , City planning