IEEE Transactions on Knowledge and Data Engineering

IEEE Transactions on Knowledge and Data Engineering (TKDE) is an archival journal published monthly designed to inform researchers, developers, managers, strategic planners, users, and others interested in state-of-the-art and state-of-the-practice activities in the knowledge and data engineering area. Read the full scope of TKDE

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From the April 2017 issue

FORWARD: A Model for FOrecasting Reservoir WAteR Dynamics Using Spatial Bayesian Network (SpaBN)

By Monidipa Das, Soumya K. Ghosh, Pramesh Gupta, V. M. Chowdary, Ravoori Nagaraja, and V. K. Dadhwal

Featured ArticleNatural systems, like the hydrological, climatological, atmospheric, or any other environmental processes, are extremely complex as well as dynamic in nature. It is therefore difficult to forecast, analyze, and quantify these processes by using simple empirical equations. Modeling and forecasting of reservoir water dynamics are not exceptions in this respect, as these involve various challenges due to the effect of meteorological factors, natural processes of stream flow, climatic change, and so on. The intent of our present work is to propose a novel forecasting model, FORWARD, that handles some of these issues in complex reservoir dynamics. FORWARD is based on a variant of spatial Bayesian network (SpaBN), having inherent capability of modeling impact of spatial variability of meteorological factors over the river catchment. The forecasting efficiency of FORWARD has been compared with four other linear and non-linear techniques based on six different statistical performance measures. The experimental results show the superiority of FORWARD over the other techniques. Though FORWARD has been demonstrated with respect to a case study on forecasting reservoir live capacity, the model possesses a generic structure that can also be applied in other domains by introducing minimal augmentation.

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Editorials and Announcements


  • We are pleased to announce that Xuemin Lin, a Scientia Professor in the School of Computer Science and Engineering at the University of New South Wales, Australia, has been named the new Editor-in-Chief of the IEEE Transactions on Knowledge and Data Engineering starting in 2017.

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  • TKDE celebrates its 25th Anniversary. Editor-in-Chief Jian Pei says, "We are celebrating the 25th Anniversary of TKDE. Since its first issue in March 1989, TKDE has published 2,981 articles, and another 220 articles in the early access portal. With 898 submissions and 79 accepted articles in 2012, TKDE is now the premier journal in the broad and general fields of data management, data mining, and knowledge engineering. We thank all the authors, reviewers, and readers for their continuing support to TKDE. As always, we are eager to hear your ideas and suggestions, and will do our best to meet your expectations. With all your passions, contributions, and supports, TKDE is embracing the new era of big data and big data analytics. Happy birthday to TKDE!"


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