https://wiki.openmod-initiative.org/api.php?action=feedcontributions&feedformat=atom&user=Lionel 2026-05-28T02:01:00Z User contributions MediaWiki 1.19.7 https://wiki.openmod-initiative.org/wiki/Demod 2021-10-25T14:30:06Z

<p>Lionel: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=domestic energy demand model<br /> |Acronym=demod<br /> |author_institution=EPFL<br /> |authors=Matteo Barsanti, Lionel Constantin<br /> |contact_persons=Matteo Barsanti, Lionel Constantin<br /> |contact_email=matteo.barsanti@epfl.ch, constantin.lionel@hotmail.com<br /> |website=https://demod.readthedocs.io/en/latest/#<br /> |source_download=https://github.com/epfl-herus/demod<br /> |text_description=demod is an open-source python library for socio-technical simulation of domestic energy demand (e.g., electrical and thermal). It allows to generate household occupancy, activity, thermal and electrical demand profiles with high temporal resolution<br /> |Primary outputs=Household occupancy, activity, thermal and electrical demand profiles<br /> |User documentation=https://demod.readthedocs.io/en/latest/overview/index.html<br /> |Code documentation=https://demod.readthedocs.io/en/latest/overview/index.html<br /> |Source of funding=Swiss National Science Foundation (SNSF project number:182878)<br /> |Number of developers=2<br /> |Number of users=1<br /> |open_source_licensed=Yes<br /> |license=GNU General Public License version 3.0 (GPL-3.0)<br /> |model_source_public=Yes<br /> |Link to source=https://github.com/epfl-herus/demod<br /> |data_availability=some<br /> |open_future=No<br /> |modelling_software=Python<br /> |processing_software=Python<br /> |GUI=No<br /> |model_class=Simulation,<br /> |sectors=end-use demand<br /> |Demand sectors=Households<br /> |Storage (Gas)=No<br /> |Storage (Heat)=No<br /> |User behaviour=Activity-based ennergy demand modeling<br /> |georegions=Germany, UK<br /> |georesolution=depending on input data<br /> |timeresolution=Minute<br /> |math_modeltype=Simulation<br /> |math_modeltype_shortdesc=First order and semi- Markov-chain Monte Carlo simulation.<br /> |math_objective=Assess domestic energy demand evolution and demand-side-management scenarios<br /> |deterministic=Not yet implemented<br /> |is_suited_for_many_scenarios=Yes<br /> |number_of_variables=tens/hundreds<br /> |montecarlo=Yes<br /> |computation_time_minutes=10<br /> |computation_time_hardware=Intel(R) Core(TM) i7-8665U CPU @ 1.90GHz 2.11 GHz. RAM 16.0 GB<br /> |computation_time_comments=32 households simulated for 1 year with 1 min time resolution<br /> |citation_references=Barsanti, M., Schwarz, J.S., Gérard Constantin, L.G. et al. Socio-technical modeling of smart energy systems: a co-simulation design for domestic energy demand. Energy Inform 4, 12 (2021).<br /> |citation_doi=https://doi.org/10.1186/s42162-021-00180-6<br /> |Model validation=Undergoing<br /> |Integrated models=co-simulation framework like mosaik<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Lionel