Renewable Energy Management Using Action Dependent Heuristic Dynamic Programming

Gulnaz Sterling, Benjamin Tyler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With increases in global energy demand and the rapid consumption of fossil fuels, the use of green energy and more efficient energy management approaches are receiving serious attention. Our focus is on improving energy resource scheduling in smart buildings and homes to minimize cost, while meeting energy demand. Here, we present an approach using Action Dependent Heuristic Dynamic Programming (ADHDP) optimization for a smart home set-up using solar panels, wind turbines, and a storage battery.In this work, we trained and evaluated our ADHDP approach using different simulation scenarios with various amounts of available renewable energy. We then demonstrated via computer simulation that our approach is more effective in cost minimization compared to a standard rule-based method. A correlation between optimization improvement and available renewable energy was also confirmed by computer simulation in all scenarios.

Original languageEnglish
Title of host publication2018 IEEE International Smart Cities Conference, ISC2 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538659595
DOIs
Publication statusPublished - Feb 28 2019
Event2018 IEEE International Smart Cities Conference, ISC2 2018 - Kansas City, United States
Duration: Sep 16 2018Sep 19 2018

Publication series

Name2018 IEEE International Smart Cities Conference, ISC2 2018

Conference

Conference2018 IEEE International Smart Cities Conference, ISC2 2018
CountryUnited States
CityKansas City
Period9/16/189/19/18

Fingerprint

Energy management
renewable energy
heuristics
Dynamic programming
energy shortage
programming
computer simulation
energy
management
scenario
Intelligent buildings
Computer simulation
Energy resources
costs
Fossil fuels
Wind turbines
scheduling
Costs
wind turbine
building

Keywords

  • Action Dependent Heuristic Dynamic Programming
  • Energy Resource Scheduling
  • Neural Dynamic Programming
  • Renewable Energy
  • Smart Buildings
  • Smart Homes

ASJC Scopus subject areas

  • Urban Studies
  • Computer Science Applications
  • Computer Networks and Communications

Cite this

Sterling, G., & Tyler, B. (2019). Renewable Energy Management Using Action Dependent Heuristic Dynamic Programming. In 2018 IEEE International Smart Cities Conference, ISC2 2018 [8656942] (2018 IEEE International Smart Cities Conference, ISC2 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISC2.2018.8656942

Renewable Energy Management Using Action Dependent Heuristic Dynamic Programming. / Sterling, Gulnaz; Tyler, Benjamin.

2018 IEEE International Smart Cities Conference, ISC2 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8656942 (2018 IEEE International Smart Cities Conference, ISC2 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sterling, G & Tyler, B 2019, Renewable Energy Management Using Action Dependent Heuristic Dynamic Programming. in 2018 IEEE International Smart Cities Conference, ISC2 2018., 8656942, 2018 IEEE International Smart Cities Conference, ISC2 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Smart Cities Conference, ISC2 2018, Kansas City, United States, 9/16/18. https://doi.org/10.1109/ISC2.2018.8656942
Sterling G, Tyler B. Renewable Energy Management Using Action Dependent Heuristic Dynamic Programming. In 2018 IEEE International Smart Cities Conference, ISC2 2018. Institute of Electrical and Electronics Engineers Inc. 2019. 8656942. (2018 IEEE International Smart Cities Conference, ISC2 2018). https://doi.org/10.1109/ISC2.2018.8656942
Sterling, Gulnaz ; Tyler, Benjamin. / Renewable Energy Management Using Action Dependent Heuristic Dynamic Programming. 2018 IEEE International Smart Cities Conference, ISC2 2018. Institute of Electrical and Electronics Engineers Inc., 2019. (2018 IEEE International Smart Cities Conference, ISC2 2018).
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