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%.
Highlights
Water treatment is one of the most important topics in the field of sustainable development
This study proposed the Weighted Fuzzy Time Series (WeSuFTS) for energy-water efficiency
Fuzzy Time Series method has grown in popularity because this method is considered as an effective tool for forecasting time series data with uncertainty
Summary
Water treatment is one of the most important topics in the field of sustainable development. Each process in water treatment consumes high energy and is high cost [1]. Water treatment is a complex and high-energy-consuming process. This is an important part of the trade-off between capital and energy. The water treatment process and energy usage are top priorities for sustainable development. The cost and energy consumption of water treatment are the main challenges for water quality and the environment. Various methods are applied and studied to overcome the impact of water treatment plants on the environment [1]. Water treatment is a vital process that can be challenging for communities and countries with limited resources
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