]> 2026-04-19T10:47:21+02:00 PyLESA 0 Andrew Lyden Andrew Lyden some dispatch perfect foresight Python for Local Energy Systems Analysis Local/Community/District false MIT license (MIT) Simulation Minimization of operational costs Local energy systems true Python AC load flow DC load flow false true Python electricity heat Renewables Conventional Generation PyLESA is an open source tool capable of modelling local energy systems containing both electrical and thermal technologies. It was developed with the aim of aiding the design of local energy systems. The focus of the tool is on modelling systems with heat pumps and thermal storage alongside time-of-use electricity tariffs and predictive control strategies. It is anticipated that the tool provides a framework for future development including electrical battery studies and participation in grid balancing mechanisms. This tool was developed as part of a PhD, "Modelling and Design of Local Energy Systems Incorporating Heat Pumps, Thermal Storage, Future Tariffs, and Model Predictive Control " by Andrew Lyden. Hour 2020-08-13T09:42:59Z 2459074.9048495 2020-08-13T09:42:59Z 2459074.9048495 true PyLESA