At Quantego we are always one step ahead. With QUASAR we have launched the next generation of stochastic optimization software to help companies make smarter decisions in the face of uncertainty. QUASAR is the only general-purpose solver for large-scale stochastic optimization and its performance is accredited by science. By uniting a set of unique and cutting-edge features, QUASAR lifts decision-making to the next level and gets you ahead of your competitors.
QUASAR’s Python package seamlessly integrates with popular packages like Numpy, Pandas, and Matplotlib. QUASAR’s Python integration offers you the shortest path from prototype to fully operational production system. Run QUASAR remotely either on premise or hosted by Quantego using our web-based Jupyter notebooks.
QUASAR's MATLAB interface now offers quantitative analysts the power of stochastic optimization with QUASAR from inside their favorite workbench. Simply embed our optimizer into existing code and get productive immediately.
Easily integrate solutions based on QUASAR into enterprise-wide applications. The Java backend offers developers a user-friendly modeling language, flexible interfaces to model customized stochastic processes, as well as full control over the stochastic optimization solver engine.
No time to develop a custom solution? You don’t have to! With QUASAR apps, we provide interfaces for applications like stochastic hydropower planning, gas storage valuation, etc. QUASAR apps are based on thoroughly tested, flexible models, which can be configured to meet user requirements. Let our consultants help you build a custom application from our templates.
The sheer size of our reservoir makes it necessary that our hydropower storage assets must be managed over the medium-term, when there is still significant uncertainty about future hydrologic inflows and power prices. Our asset management therefore clearly benefits from stochastic modeling, but only with QUASAR, we are able to solve the stochastic optimization problem in hourly time steps over a three-year planning horizon.
Dr. Andreas Eichhorn, Portfolio Management at VERBUND Trading, Vienna, Austria
The business environment of energy utilities and energy traders is changing constantly, which makes dealing with uncertainty a daily challenge. To cope with this change, flexible and user-friendly tools are required. QUASAR’s Jupyter integration combines productivity, flexibility, and usability in one tool, which makes it a pleasure to prototype and analyze models for everyday’s work tasks.
Dr. Elke Moser, Research and Analysis at Energieallianz, Vienna, Austria
Learn how energy companies already use QUASAR to make smarter decisions in the face of uncertainty.
Fill out this form to request a 90 day free trial of the QUASAR Optimization Software. By submitting this form, you confirm that you have read and agree to the QUASAR End-User License and Services Agreement. If you have any questions or want to request an academic license or a demo, please contact us at .
Indifference pricing for natural gas storage contracts. Working Paper
Abstract: Natural gas markets are incomplete due to physical limitations and low liquidity, but most valuation approaches for natural gas storage contracts assume a complete market. We propose an alternative approach based on indifference pricing which does not require this assumption but entails the solution of a high-dimensional stochastic-dynamic optimization problem under a risk measure... [more]
Optimizing trading decisions for hydro storage systems using approximate dual dynamic programming. Operations Research (2013)
Abstract: We propose a new approach to optimize operations of hydro storage systems with multiple connected reservoirs whose operators participate in wholesale electricity markets. Our formulation integrates short-term intraday with long-term interday decisions. The interday problem is modeled as a Markov decision process of managing storage operation over time... [more]
Take a look at client presentations and learn which business insights can be gained from using QUASAR.
At Quantego we are always one step ahead. Being a research-driven company, we are not only up-to-date with the latest trends in applied math, operations research, and machine learning. Our researchers themselves are renowned scientists in these fields, committed to invent the next generation of decision-making technology. They repeatedly publish their breakthroughs in top-notch peer-reviewed scientific journals. We at Quantego are working aggressively to transform these breakthroughs into professional products and services that help our clients to stay ahead.