<span>Accurate baseline energy models demand increase significantly as it lower the risk of energy savings quantification. It is achieved by performing energy consumption prediction with its respective independent variables through linear or non-linear modelling technique. Developing such model through linear modelling technique provide certain disadvantages due to the fact that the behavior of certain independent variables with respect to the energy consumption is non-linear in nature. Furthermore, linear modelling technique requires prior studies upon modelling to achieve accurate energy consumption prediction. Thus, to apprehend this situation, this paper main intention is to perform energy consumption prediction through a non-linear modelling technique to provide alternative option for developing a good and accurate baseline energy models. This study proposes energy consumption prediction based on Non-linear Auto Regressive with Exogenous Input – Artificial Neural Network (NARX-ANN) as a non-linear modelling technique that will be compared with Multiple Linear Regression Model (MLR) as linear modelling technique. A case study in Malaysian educational buildings during lecture week will be used for this purpose. The results demonstrate that NARX-ANN shows a higher accuracy through statistical error measurement.</span>
Engagement with new tariff scheme, Enhanced Time of Use (EToU) after switching from old tariff scheme, Time of Use (ToU) for chiller plant operation may be not promising a significant benefit for consumer in term of techno-economic value or even getting worse. This uncertainty condition make consumers doubt to switch onto latter. Therefore this study is focusing to analyze and looking potential benefit of energy cost the chiller’s plant operation when engaging with the new tariff scheme EToU rather than ToU. Consumer’s potential benefit appear for this study when switching from ToU to EToU tariff scheme for chiller plant operation through shifting the chiller’s plant operation from peak to mid-peak hour while maintaining discharging operation of thermal energy storage (TES). This could benefit both consumer’s on demand and utility on supply side respectively. Consumer may experience lower energy cost charged by utility. While utility could minimize the investment cost to install and maintain power system infrastructure in order to meet energy demand as well. However, further comprehensive study on this paper is also discussed for looking the more significant benefit to reduce energy cost of chiller’s operation when engaging with EToU tariff scheme.
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