MAPS leverages more than 50 years of expertise in its electric system economic planning tool. Decades of heuristics development means that our algorithm mirrors the grid, adapts to industry changes like renewable resource integration, and easily imports and exports your data through our file editor as part of an updated graphical user interface.
Speed. MAPS supports task parallelization, allowing high-performance computing clusters to run large cases in hours, not days.
Productivity. The Python API grants users improved control over input data, simulation execution, and result reporting for enhanced productivity.
Accessible data. Pre-made datasets available for the Eastern Interconnect, Western Interconnect, ERCOT, and over 50 countries.
Chronological load simulation. More accurately model path-dependent quantities such as minimum run-time and storage.
Accuracy. Sub-hourly modeling better estimates intra-hour dispatch and reserve needs.
Data Validation. A streamlined GUI for editing and validating data and easy Excel integration
Energy Modeling. Easily model energy storage and renewables.
predicted decline in fossil generation by 2030
projected ahead of NYPA's decarbonization goals
"This study is very promising and further proof that peaker plants can and must be retired expeditiously in a way that upholds environmental justice principles and the leadership of environmental justice organizations. Let’s stop wasting time and money as we embrace a fossil fuel free future in New York by investing in renewable energy sources and regenerative economies."
Learn how the Python API and GUI for MAPS can simplify your team’s workflow.
Streamline your team’s project workflow with a modern user interface (GUI) and Python API that manages all input data, organizes multiple scenarios, executes multi-core jobs, and automates postprocessing and reportings.
Energy industry training courses focused on power systems and markets fundamentals, strategic generation and transmission planning, policy, decarbonization, and the energy transition.