@misc{10481/84716,
year = {2023},
month = {5},
url = {https://hdl.handle.net/10481/84716},
abstract = {This article presents a novel methodology for energy management in microgrids focused on the
demand side. It is inspired by the Tangram puzzle. The energy demand and production profiles are
represented by polygons and managed through computational geometry. Therefore, an optimization
problem is defined to place n energy demand profiles (pieces) to cover the total energy production
profile (target shape). The optimization problem is addressed with a genetic algorithm. It tries to
calculate the optimal positions of the polygons of the demands covering the maximum energy
production. Since the referred production comes from renewable energy sources in the microgrid,
this method allows reducing both the consumption of fossil fuels and energy bills.},
publisher = {Elsevier},
keywords = {Demand-side management},
keywords = {Microgrid},
keywords = {Optimization},
title = {On the optimal demand-side management in microgrids through polygonal composition},
doi = {10.1016/j.segan.2023.101066},
author = {Topa, A.O. and Calvo Cruz, Nicolás and Álvarez, J.D and Torres, J.L.},
}