skip to main content

DOE PAGESDOE PAGES

Title: A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework

The energy-water nexus, or the dependence of energy on water and water on energy, continues to receive attention as impacts on both energy and water supply and demand from growing populations and climate-related stresses are evaluated for future infrastructure planning. Changes in water and energy demand are related to changes in regional temperature, and precipitation extremes can affect water resources available for energy generation for those regional populations. Additionally, the vulnerabilities to the energy and water nexus are beyond the physical infrastructures themselves and extend into supporting and interdependent infrastructures. Evaluation of these vulnerabilities relies on the integration of the disparate and distributed data associated with each of the infrastructures, environments and populations served, and robust analytical methodologies of the data. A capability for the deployment of these methods on relevant data from multiple components on a single platform can provide actionable information for interested communities, not only for individual energy and water systems, but also for the system of systems that they comprise. Here in this paper, we survey the highest priority data needs and analytical methods for inclusion on such a platform.
Authors:
ORCiD logo [1] ; ORCiD logo [2] ; ORCiD logo [2] ; ORCiD logo [1] ; ORCiD logo [1] ; ORCiD logo [3] ; ORCiD logo [3] ; ORCiD logo [1] ; ORCiD logo [1] ; ORCiD logo [1]
  1. Univ. at Buffalo, NY (United States). Computer Science and Engineering Dept.; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Urban Dynamics Inst.
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Science and Engineering Division
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Urban Dynamics Inst.
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
Big Earth Data
Additional Journal Information:
Journal Volume: 2; Journal Issue: 3; Journal ID: ISSN 2096-4471
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING
OSTI Identifier:
1488702

Allen, Melissa R., Zaidi, Syed Mohammed Arshad, Chandola, Varun, Morton, April M., Brelsford, Christa M., McManamay, Ryan A., KC, Binita, Sanyal, Jibonananda, Stewart, Robert N., and Bhaduri, Budhendra L.. A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework. United States: N. p., Web. doi:10.1080/20964471.2018.1524344.
Allen, Melissa R., Zaidi, Syed Mohammed Arshad, Chandola, Varun, Morton, April M., Brelsford, Christa M., McManamay, Ryan A., KC, Binita, Sanyal, Jibonananda, Stewart, Robert N., & Bhaduri, Budhendra L.. A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework. United States. doi:10.1080/20964471.2018.1524344.
Allen, Melissa R., Zaidi, Syed Mohammed Arshad, Chandola, Varun, Morton, April M., Brelsford, Christa M., McManamay, Ryan A., KC, Binita, Sanyal, Jibonananda, Stewart, Robert N., and Bhaduri, Budhendra L.. 2018. "A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework". United States. doi:10.1080/20964471.2018.1524344. https://www.osti.gov/servlets/purl/1488702.
@article{osti_1488702,
title = {A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework},
author = {Allen, Melissa R. and Zaidi, Syed Mohammed Arshad and Chandola, Varun and Morton, April M. and Brelsford, Christa M. and McManamay, Ryan A. and KC, Binita and Sanyal, Jibonananda and Stewart, Robert N. and Bhaduri, Budhendra L.},
abstractNote = {The energy-water nexus, or the dependence of energy on water and water on energy, continues to receive attention as impacts on both energy and water supply and demand from growing populations and climate-related stresses are evaluated for future infrastructure planning. Changes in water and energy demand are related to changes in regional temperature, and precipitation extremes can affect water resources available for energy generation for those regional populations. Additionally, the vulnerabilities to the energy and water nexus are beyond the physical infrastructures themselves and extend into supporting and interdependent infrastructures. Evaluation of these vulnerabilities relies on the integration of the disparate and distributed data associated with each of the infrastructures, environments and populations served, and robust analytical methodologies of the data. A capability for the deployment of these methods on relevant data from multiple components on a single platform can provide actionable information for interested communities, not only for individual energy and water systems, but also for the system of systems that they comprise. Here in this paper, we survey the highest priority data needs and analytical methods for inclusion on such a platform.},
doi = {10.1080/20964471.2018.1524344},
journal = {Big Earth Data},
number = 3,
volume = 2,
place = {United States},
year = {2018},
month = {7}
}

Works referenced in this record:

Anomaly detection: A survey
journal, July 2009
  • Chandola, Varun; Banerjee, Arindam; Kumar, Vipin
  • ACM Computing Surveys, Vol. 41, Issue 3, p. 1-58
  • DOI: 10.1145/1541880.1541882

Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
journal, October 2009
  • Swan, Lukas G.; Ugursal, V. Ismet
  • Renewable and Sustainable Energy Reviews, Vol. 13, Issue 8, p. 1819-1835
  • DOI: 10.1016/j.rser.2008.09.033

Random Forests
journal, January 2001