Browse standardized domains covering the full spectrum of energy intelligence.
We detected elevated rate limits from GitHub. Sync intervals have been automatically adjusted.
Models and datasets for solar irradiance forecasting, PV system optimization, and degradation analysis.
Turbine performance models, wake effect simulations, and offshore wind resource assessments.
Power flow analysis, grid stability models, demand response optimization, and transmission planning tools.
Emissions tracking frameworks, carbon capture models, and climate impact assessment datasets.
Battery degradation models, grid-scale storage optimization, and thermal management systems.
Building energy modeling, HVAC optimization, and retrofit impact analysis tools.
OT/ICS intrusion detection, zero trust access control, and resilience testing for grid infrastructure.
LF Energy power-system simulation, substation automation, and operator platforms — Dynaωo, PowSyBL, SOGNO, and more.
LF Energy battery data standards and network asset renewal tooling.
LF Energy tools for supplier emissions tracking and extreme-event climate risk analysis.
LF Energy metered-savings and building/DER benchmarking tools — OpenDSM, CityLearn, and more.
LF Energy machine learning tooling for the grid — reinforcement learning, foundation models, and synthetic data.
LF Energy EV charging station software and charge management systems — EVerest, CitrineOS.
LF Energy demand response, DER orchestration, and grid-edge interoperability — FlexMeasures, OpenLEADR, and more.
LF Energy flexibility markets, data ingestion, and registry/semantic interoperability standards.
Modernizing transmission and distribution networks with connected, software-defined infrastructure.
Protecting OT/ICS networks, SCADA systems, and critical energy infrastructure from cyber threats.
Building networks that withstand, adapt to, and recover quickly from disruptions and extreme events.
Machine learning and intelligent automation for forecasting, optimization, and grid operations.
Real-time virtual replicas of grid assets for simulation, monitoring, and predictive analysis.
Virtualized protection, control, and automation replacing hardware-centric substation design.