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Tuesday, June 28 • 1:18pm - 1:36pm
Experiences on the Use of R in the Water Sector

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In this study we present some real cases where R has been a key element on building decision support systems related to the water industry. We have used R in the context of automatic water demand forecast, its application to optimal pumping scheduling and building a framework to offer these algorithms as a service (using RInside, Rcpp, MPI, RProtobuf among others) to easily integrate our work on heterogeneous environments. We have used an HPC cluster with R to solve big problems faster. About water demand forecast we used several tools like lineal models, neural networks or tree based method. On short term we included also weather forecast variables. The selection of the method is carried out dynamically (or online) using out-of-sample recent data. The optimal pumping schedule model is loaded with LPSolveAPI package and solved with CBC. We produce nice HTML5 reports of the solutions using googleVis package.

avatar for Han-ming Wu

Han-ming Wu

Associate Professor, Department of Mathematics, Tamkang University

avatar for David Ibarra

David Ibarra

Universidad de Alicante
Currently I'm a PhD candidate on University of Alicante on Computer Sciences (High Performace Computing, Parallel programming) and I'm also full-time Senior Data Scientist on VidaCaixa (Life-Insurance company). | | Since march 2016 I'm a former worker of the Water Industry (on a Company owned by Suez), I held several positions along 8 years as: Senior Data Scientist, Project manager or R+D Engineer. I developed and industrialized... Read More →

Tuesday June 28, 2016 1:18pm - 1:36pm
SIEPR 120 366 Galvez St, Stanford, CA 94305

Attendees (45)