지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Generally, treated water or raw water is transported into storage reservoirs which are receiving facilities of local governments from multi-regional water supply systems. A water supply control and operation center is operated not only to manage the water facilities more economically and efficiently but also to mitigate the shortage of water resources due to the increase in water consumption. To achieve the goal, important information such as the flow-rate in the systems, water levels of storage reservoirs or tanks, and pump-operation schedule should be considered based on the resonable water demand forecasting. However, it is difficult to acquire the pattern of water demand used in local government, since the operating information is not shared between multi-regional and local water systems. The pattern of water demand is irregular and unpredictable. Also, additional changes such as an abrupt accident and frequent changes of electric power rates could occur. Consequently, it is not easy to forecast accurate water demands. Therefore, it is necessary to introduce a short-term water demands forecasting and to develop an application of the forecasting models. In this study, the forecasting simulator for water demand is developed based on mathematical and neural network methods as linear and non-linear models to implement the optimal water demands forecasting. It is shown that MLP(Multi-Layered Perceptron) and ANFIS(Adaptive Neuro-Fuzzy Inference System) can be applied to obtain better forecasting results in multi-regional water supply systems with a large scale and local water supply systems with small or medium scale than conventional methods, respectively.
목차
등록된 정보가 없습니다.
참고문헌 (12)
참고문헌 신청
최기선 / 2009 / 데이터 마이닝과 칼만필터링에 기반한 단기 물 수요예측 알고리즘 / 제어.로봇.시스템학회 논문지 15(10):1056~1061
S. Chenthur Pandian / 2006 / Fuzzy approach for short term load forecasting / Electric power systems research 76:541~548
H. S. Hwang / 2006 / Fuzzy GMDH-type neural network model and its application to forecasting of mobile communication / Computer & Industrial Engineering 50:450~457
J. L. Torres / 2005 / Forecast of hourly average wind speed with ARMA models in Navarre(Spain) / Solar Energy 79:65~77
G.B. Huang / 2006 / Extreme learning machine: Theory and applications / Neurocomputing 70:489~501
S. Chenthur Pandian / 2006 / Fuzzy approach for short term load forecasting / Electric power systems research 76:541~548
H. S. Hwang / 2006 / Fuzzy GMDH-type neural network model and its application to forecasting of mobile communication / Computer & Industrial Engineering 50:450~457
J. L. Torres / 2005 / Forecast of hourly average wind speed with ARMA models in Navarre(Spain) / Solar Energy 79:65~77
G.B. Huang / 2006 / Extreme learning machine: Theory and applications / Neurocomputing 70:489~501
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