An open, research-grade framework for designing, modelling and optimising local energy communities. From cadastral parcel to energy profile — from profile to optimised community. Built so that energy-community planning is reproducible, data-driven and peer-reviewable.
The European energy transition and new national frameworks (LEX OZE II) create an urgent need for sophisticated, transparent tools for planning local generation and consumption. Most commercial tools are closed black boxes — GENEKOM is built as an open, reproducible research platform.
Existing commercial solutions are closed „black box“ systems with inflexible boundary conditions. Their methods are neither reproducible nor open to peer review, and rarely fit Czech subsidy policy and SSE legislation.
A transparent modelling stack combining precise physical models and probabilistic analysis, documented in peer-reviewed publications and validated on real Czech communities — from the metering point up.
A two-stage greedy algorithm on full-resolution data (35,040 quarter-hour intervals) outperforms MILP on compressed surrogates by 0.8 % while running 3–4× faster — no commercial solver required.
The GENEKOM approach accelerates the design of local energy communities and supports delivery on EU energy-transition commitments.
Automated techno-economic feasibility assessment of energy communities. An integrated GIS for map-based community design, with rule-based PV/BESS sizing driven by legislative constraints and budget.
Synthetic consumption and generation profiles derived from building metadata. Deterministic source models plus data-driven demand profiles learned with ML from public and private databases (national statistics, standard load diagrams).
Full implementation of energy-sharing rules within the EDC framework, including settlement at 15-minute resolution. Native support for Czech subsidy policy (SFŽP, NZÚ, RES+).
A two-stage greedy algorithm partitions prosumers and consumers into size-constrained groups (max 5 PV plants, max 1,000 consumers). It runs in minutes on commodity hardware without a commercial solver.
Detailed impact analysis for every metering point — from a single-family home to an energy-intensive industrial site. Investment proposals, self-sufficiency and payback time.
Modelling and critical comparison of static, dynamic and hybrid methods for distributing energy between members. Economic prediction and return on investment tailored to the specifics of the Czech market.
Explore a demo community in Brno (the VUT campus) — the map, a building detail, the simulation settings and the sharing results, straight from the app's live compute endpoints.
Demo data from a test Brno project (VUT campus · 272 members, 3 groups). The specific figures are illustrative and may not reflect reality — they only showcase the GENEKOM app environment.
Peer-reviewed and conference work behind the GENEKOM project. Methods are described in the open, ready for validation and reuse.
A two-stage optimisation framework for energy-community coalition formation. A greedy algorithm on full-resolution data (35,040 quarter-hour intervals) outperforms MILP on compressed surrogates. Evaluated on a Czech community of 230 prosumers and 2,470 consumers.
Design of two electricity-sharing groups for the town of Židlochovice (6 PV plants, 22 metering points). Household consumption profiles modelled with the GENEKOM software (project TQ15000101, TAČR). Analysis of expansion potential and sharing economics at 1,577 CZK/MWh, with an average saving of ~12 % on the energy component of the bill.
A geospatial, at-scale sensitivity analysis of energy-community regulation — stress-testing whether a community design breaks first on physical constraints or on regulatory rules.
Presentation of the GENEKOM project at SPIL'25. The three pillars of the approach: streamlined design, behavioural data generation and algorithmic legislative conformance.
The GENEKOM project fully embraces the principles of open science.
Research data is curated to be findable, accessible, interoperable and reusable.
Scientific publications and methodologies are made available under open access.
Model documentation is open for expert validation. Algorithms are described in peer-reviewed publications — no black boxes.
GENEKOM is built on close collaboration between young, talented researchers and experienced mentors from academia and industry.
Principal investigator
Mentor
Coordinator for EGÚ
Team member
Team member
Interested in the methods, the data, or a research collaboration? Read the publications or explore the application.