RTC-Tools is an open-source Python framework for modeling, simulation, and optimization of dynamic systems. Its core engine is domain-agnostic and extensible. It supports linear & nonlinear optimization, goal programming, and optimization under uncertainty. RTC-Tools is used to optimize networks of assets, such as reservoirs, pumps, and batteries.
Telco pIPeline benchmarking SYstem
Explainable smart-grid and grid-forming BESS concepts for engineers, students, and project teams.
Open BESS Edge Gateway — Industrial BESS connectivity, profile-driven Modbus TCP, and fail-closed safety controls
Templates and checklists for BESS QA/QC, FAT/SAT readiness, supplier evidence review, and commissioning handover.
Batch-scheduler framework for controlling execution in a packet-processing pipeline based on strict service-level objectives
grid-gym is an open-source platform for deterministic simulation and validation of smart grid and energy management systems. It supports replay simulations, fault injection, multi-agent control, and Modbus, MQTT, and real-time telemetry for research, development, and integration testing.
A python library for simulating and optimizing a photovoltaic system with power storage
Load flow analysis of IEEE 33-bus distribution network with PV, BESS, and EV integration using Pandapower | Voltage profile & 24-hour time-series simulation
Wind vs. Solar LCOE feasibility analysis at a real Ankara site (METU K1) using live PVGIS & NASA POWER APIs, DCF modelling, and 2026 Turkish market data
Perfect-foresight BESS arbitrage revenue and capture ratio on European day-ahead power markets (LP, HiGHS)
Battery energy storage dispatch model built with Pyomo, co-optimizing energy price arbitrage with frequency regulation capacity (revenue stacking) as a single LP. Power and SOC headroom constraints couple the two markets; the horizon is energy-neutral so reported profit is not inflated by the opening charge.
Where a BESS earns its day-ahead arbitrage revenue in Japan — JEPX FY2017–FY2025 (plus a partial FY2026) decomposed: not spikes but solar shape, scaled by fuel. With a cross-market ceiling table (arbitrage vs capacity vs balancing) and a documented cautionary tale.
Five-layer quantitative analytics platform for European gas and power markets. Covers cointegration scanning, forward curve PCA (TTF M+1 to M+18), Nordic price decomposition, ML regime detection (LSTM/HMM/FinBERT), VaR simulation, and BESS project finance. 31 modules, 9 live data sources.
eBus / Homie 5 distribution-enclosure simulator: publishes a complete panel (circuits plus BESS, PV, EVSE) to MQTT, so you can build and test consumers without hardware.
Bridging the lab-to-field gap in BESS health diagnostics. Python case studies exploring data quality, baseline-relative degradation trends, and uncertainty-aware SOH assessment to inform asset valuation and insurance risk assessment.
ERCOT BESS arbitrage: LightGBM dispatch adds +$2.6M/yr (100 MW battery) over persistence on 2-year held-out test (77% of ceiling).
Bess plugin for the python-language-server
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