Adaptive optimal monthly peak building demand limiting strategy based on exploration-exploitation tradeoff

Lei Xu, Hong Tang, Shengwei Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Peak demand limiting is an efficient means to reduce the monthly electricity cost in cases where peak demand charge is a major factor. This paper presents an adaptive optimal monthly peak building demand limiting strategy based on exploration and exploitation tradeoff in threshold resetting. Two basis function components are developed, including a building load prediction model and an optimal threshold resetting scheme. The building load prediction model is built using the artificial neural network (ANN). The optimal threshold resetting scheme is developed based on the cost-benefit analysis, and the predicted building demands and/or actual building power uses. Three basic exploration-exploitation tradeoff schemes (i.e., the non-greedy, the greedy and the ε-greedy schemes) are proposed for optimal threshold resetting. Monte Carlo simulation is conducted to analyze the impacts of the exploration-exploitation tradeoff scheme parameter on the demand limiting performance under uncertainties. The model validation results show that the ANN building load prediction model can achieve satisfactory accuracy with the average mean absolute percentage error (MAPE) of 5.7%. Case studies are conducted and the results show that the strategy based on the three proposed schemes can effectively reduce the monthly peak demand cost in different seasons. Monte Carlo simulation results show that the ε-greedy scheme could achieve higher monthly net cost saving with better robustness when a large value of ε is used in both winter and summer.

Original languageEnglish
Article number103349
JournalAutomation in Construction
Volume119
DOIs
Publication statusPublished - Nov 2020

Keywords

  • ANN model
  • Building demand management
  • Exploration-exploitation tradeoff
  • Optimal threshold resetting
  • Peak demand limiting

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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