Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model

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dc.contributor.authorFrancesco Lombardi
dc.contributor.authorSergio Balderrama
dc.contributor.authorSylvain Quoilin
dc.contributor.authorEmanuela Colombo
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T13:53:47Z
dc.date.available2026-03-22T13:53:47Z
dc.date.issued2019
dc.descriptionCitaciones: 116
dc.identifier.doi10.1016/j.energy.2019.04.097
dc.identifier.urihttps://doi.org/10.1016/j.energy.2019.04.097
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/43352
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofEnergy
dc.sourcePolitecnico di Milano
dc.subjectDuty cycle
dc.subjectEnergy (signal processing)
dc.subjectComputer science
dc.subjectStochastic modelling
dc.subjectGrid
dc.subjectOpen source
dc.subjectDistributed generation
dc.subjectReal-time computing
dc.subjectSimulation
dc.subjectRenewable energy
dc.titleGenerating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model
dc.typearticle

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