Decentralized operation strategies for an integrated building energy system using a memetic algorithm
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Publication:439352
DOI10.1016/j.ejor.2011.09.008zbMath1244.90142OpenAlexW2048639908MaRDI QIDQ439352
Teresa Wu, Mengqi Hu, Jeffery D. Weir
Publication date: 16 August 2012
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2011.09.008
Related Items (6)
An efficient two-stage algorithm for decentralized scheduling of micro-CHP units ⋮ Local matching of flexible load in smart grids ⋮ Bi-objective mixed integer linear programming for managing building clusters with a shared electrical energy storage ⋮ Energy management for stationary electric energy storage systems: a systematic literature review ⋮ A robust biobjective optimization approach for operating a shared energy storage under price uncertainty ⋮ Rayleigh copula for describing impedance data -- with application to condition monitoring of proton exchange membrane fuel cells
Cites Work
- A multi-objective production scheduling case study solved by simulated annealing
- Risk-averse profit-based optimal scheduling of a hydro-chain in the day-ahead electricity market
- A variant of the dynamic programming algorithm for unit commitment of combined heat and power systems
- Dynamic multi-objective heating optimization
- An efficient envelope-based branch and bound algorithm for non-convex combined heat and power production planning
- Lagrangian relaxation based algorithm for trigeneration planning with storages
- Genetic local search for multi-objective flowshop scheduling problems
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