Maon
type: Ontology
creation date: 2026-08-17T01:14:57+02:00
imports: http://semantic-mediawiki.org/swivt/1.0

Maon
type: Subject
type: Category:Model
page: https://wiki.openmod-initiative.org/wiki/Maon
wiki namespace: 0
author institution: Maon GmbH
authors: Mihail Ketov, Fabian Breitkreutz, Yash Patel, Elias El Abd, Mihael Nikolić, Nicolai Schmid, Dariush Wahdany, Aiwen Wang, Mark Schäfer, Anton Kucherenko, Söhnke Hartmann, Huangluolun Zhou, Kai Strunz, Albert Moser
citation references: Maon GmbH, Documentation, https://docs.cloud.maon.eu.
computation time comments: dispatch for 8760 coupled hours in full European region with spot, FCR, aFRR, mFRR, emission, renewable, thermal, hydro, battery, CHP, PtG, DSR, FBMC, AHC, HVDC and on-off decision model, without facility-wise aggregations
computation time minutes: 300
contact persons: Dr. Mihail Ketov
data availability: all
decisions: dispatch
decisions: investment
deterministic: Monte Carlo, preprocessing or sensitivity
georegions: Europe, North Africa, Middle East
georesolution: Individual power stations
is suited for many scenarios: true
math modeltype: Optimization
math modeltype: Simulation
math modeltype: Other
math modeltype: Agent-based
math objective: Minimization of dispatch and investment cost
model class: Mixed-Integer Quadratic Programming (MIQP)
model source public: false
modelling software: C++
network coverage: transmission
network coverage: distribution
network coverage: AC load flow
network coverage: DC load flow
network coverage: net transfer capacities
number of variables: 1000000000
open future: false
open source licensed: false
processing software: Ansible, Ceph, cURL, Docker, GraphQL, Kubernetes, MinIO, MongoDB, Node.js, Preact, Python, tusd, TypeScript, WebAssembly
report references: https://maon.eu/publications
sectors: transport)
sectors: Electricity plus couplings (industry
sectors: commercial
sectors: households
technologies: Renewables
technologies: Conventional Generation
technologies: CHP
text description: Maon is a market simulation for fundamental electricity wholesale market analysis. It forecasts the facility-level quarter-hourly dispatch of all supply and demand across a continent. Further, it can predict capacities and uncertainties of generators, interconnectors, storages, and consumers. Web browsers provide access to the data management, simulation, and analysis environment. It enables high-speed, high-resolution, and large-scale foresights. Scenarios can be parameterized by multiple users at the same time, calculated by one click, and collaboratively visually analyzed. Users get support by work-leveraging parameterization tools, comprehensive quality checks, and interactive visualizations. Maon provides not only results like prices, dispatches, and capacities, but also capture rates, costs, price distributions, revenues, utilizations, and many other measures.
timeresolution: Hour
website: maon.eu
wiki page creation date: 2019-09-15T19:55:30Z
creation date#aux: 2458742.3302083
special property ERRP: Property:Source download
wiki page last editor: User:Mihail Ketov
wiki page modification date: 2026-05-09T11:51:03Z
modification date#aux: 2461169.9937847
wiki page is new: false
wiki page sort key: Maon