Journals Information
Environment and Ecology Research Vol. 10(2), pp. 182 - 192
DOI: 10.13189/eer.2022.100207
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Weighted Subsethood Fuzzy Time Series towards Energy-Water Efficiency for Water Treatment Plant
Shahidah Othman 1,*, Rosnalini Mansor 1, Fakhrurazi Ahmad 2
1 School of Quantitative Sciences, UUM College of Arts and Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
2 Syarikat Air Darul Aman Sdn. Bhd., No. 892, Jalan Sultan Badlishah Bandar Alor Setar, 05000 Alor Setar, Kedah, Malaysia
ABSTRACT
Forecasting is the process that uses statistical tools to make predictions based on past and present data. In the water treatment plant systems, forecasting is useful to increase the efficiency of energy-water units by forecasting the amount of energy used in the current and future time. Fuzzy time-series (FTS) employs an algorithm or statistical model to predict the future condition. By analysing the patterns of data, fuzzy time-series forecasting can forecast the future condition of a system. The FTS approaches have been increasingly popular in recent years, as there are so many methods available for a researcher to apply to forecast the future based on the needs of the user. This paper proposed the modification of the classical fuzzy time series by applying weighted subsethood Fuzzy Time Series (WeSuFTS) in the water management industry. 2 sets of monthly data, which are water production and energy consumption data from January 2017 to December 2020, are used in this study. To measure the performance of the proposed model, the forecast results of the proposed model were compared with the forecast results of Chen and Cheng models. This study compares 3 different models using Absolute Percentage Error (APE) and Mean Absolute Percentage Error (MAPE). The WeSuFTS model delivers a good performance in the evaluation part with MAPE 0.9252% and APE value between 0.02226% and 1.7877%.
KEYWORDS
Energy-Water Efficiency, Forecasting, Fuzzy Time Series, Water Treatment Plant, Weighted Subsethood
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Shahidah Othman , Rosnalini Mansor , Fakhrurazi Ahmad , "Weighted Subsethood Fuzzy Time Series towards Energy-Water Efficiency for Water Treatment Plant," Environment and Ecology Research, Vol. 10, No. 2, pp. 182 - 192, 2022. DOI: 10.13189/eer.2022.100207.
(b). APA Format:
Shahidah Othman , Rosnalini Mansor , Fakhrurazi Ahmad (2022). Weighted Subsethood Fuzzy Time Series towards Energy-Water Efficiency for Water Treatment Plant. Environment and Ecology Research, 10(2), 182 - 192. DOI: 10.13189/eer.2022.100207.