@inproceedings{Pickering2016Comparisonof,
  title = {Comparison of Metaheuristic and Linear Programming Models for the Purpose of Optimising Building Energy Supply Operation Schedule},
  booktitle = {{{CLIMA}} 2016 - Proceedings of the 12th {{REHVA}} World Congress: Volume 6},
  author = {Pickering, Bryn and Ikeda, Shintaro and Choudhary, Ruchi and Ooka, Ryozo},
  year = {2016},
  month = may,
  address = {Aalborg, Denmark},
  url = {http://vbn.aau.dk/files/233775414/paper_529.pdf},
  abstract = {Increasing complexity of building energy systems has led to a wide range of methods to minimise cost of meeting demand for all types of energy. Metaheuristics and mixed integer linear programmes (MILP) are the two most prevalent optimisation methods in the field, with relative advantages which have not previously been compared under common criteria. The principle objective of this paper is to scrutinise these two optimisation methods when applied to a problem of finding the optimal operational schedule of an energy system serving a hotel. 11 technologies are modelled by both methods, but all exhibit nonlinear characteristics which must be linearised for use in MILP. Comparison of the two models results in variation between objective function below 1},
  project = {district\_energy},
  keywords = {Energy System Optimisation,Epsilon constrained differential evolution,Metaheuristics,Mixed Integer Linear Programming}
}

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