At Quantego we are always one step ahead. With QUASAR we have launched the next generation of stochastic optimization software to help energy 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.

Move from forecasts to scenarios

Forecasts ignore uncertainty - scenarios do not. With QUASAR, you make smarter decisions that take all possible outcomes of the future into account.

Be ahead of your competitors

Many companies want to use scenarios, but lack the software that gets it right. QUASAR has it all to keep you ahead of the field: scenario analytics and scenario generation, large-scale stochastic optimization, simulation analysis.

Trust in peer-reviewed expertise

Having active members of the mathematical optimization community aboard helps us and our technology to stay on top. QUASAR is based on a decade of research and the math behind it is published in top-ranked peer-reviewed, scientific journals.

Get your risk under control

Smart decision-makers do not just look at the average profit, but keep an eye on the worst case. QUASAR helps you to not only control but also to optimize your value-at-risk.

Manage the complexity of the real world

Up until now, optimization under uncertainty meant sacrificing detail. Not anymore. QUASAR easily handles decision problems with hundreds of time periods, thousands of decisions, and millions of possible scenarios.

Experience a unique ease-of-use

You want to solve a stochastic optimization problem, but do not know how? You don’t have to! QUASAR’s modeling and solver system is designed towards usability and ease-of-use, so you can focus on modeling and analysis and let QUASAR do the heavy-lifting.

Successful Applications

Learn how energy companies use QUASAR to make smarter decisions in the face of uncertainty.

Hydro power planning

Stochastic Portfolio Management

Electricity retailers usually hedge against uncertainty by managing a portfolio of financial and physical derivative contracts. Optimizing this portfolio not only requires balancing the expected return with the associated risk but also to anticipate the dynamics of possible investments and prices over time. QUASAR makes it easy to find a risk-optimal investment strategy that takes the future of the portfolio into account.

Gas Storage Valuation

Stochastic Gas Storage Valuation

Energy traders frequently need to price contracts on the storage of gas or develop own trading strategies for storage assets. Existing pricing and trading methods based on the (rolling) intrinsic value are effectively deterministic solutions and are known to underrate the actual value of storage. Quantego has now developed a range of models based on QUASAR to support traders with optimal trading strategies for spot and futures markets. Our stochastic solutions provide gas delta positions, distributions of cash flows and storage contents, as well as optimization of the (conditional) value-at-risk.

Capacity Planning

Stochastic Hydropower Planning

Hydropower operation today not only faces uncertainty about natural inflows but also uncertainty about the evolution of electricity prices, which are themselves subject to uncertainty in generation mix and fuel cost. Using QUASAR, Quantego has developed a comprehensive software that enables optimization of hourly dispatch of interconnected hydropower systems over several years under price and inflow uncertainty.

  • 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

How can I use QUASAR?



No time to develop a custom solution? You don’t have to! With QUASAR apps, we provide graphical user interfaces for applications like stochastic hydropower planning, gas storage valuation, and portfolio management. 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.



Run QUASAR remotely either on premise or hosted by Quantego using our web-based Jupyter notebooks. 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.

QUASAR 2 Matlab

QUASAR 2 Matlab

QUASAR's MATLAB interface now offers quantitative analysts the power of stochastic optimization with QUASAR from inside their favorite workbench.

QUASAR Java Backend

QUASAR Java Backend

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.

Experience QUASAR Yourself!

You want to know more and see QUASAR in action? Schedule a demo today and learn how QUASAR can help your business to make smarter decisions.

More Resources


Optimal gas storage valuation and futures trading under a high-dimensional price process. Optimization Online (2015)

Optimizing trading decisions for hydro storage systems using approximate dual dynamic programming. Operations Research (2013)


Directly deploy from Docker:

Repository with sample files:

Python references for PyQUASAR: quantego.com/docs/pyquasar

Javadocs for the QUASAR Java API:

Quantego - The Quants behind 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.


Dr. Nils Löhndorf

Founder of Quantego and scientist behind the QUASAR stochastic optimizer. PhD in operations research. Assistant professor at WU Vienna.


Dr. Birgit Löhndorf

Responsible for business management and marketing. PhD in marketing and many years of experience as manager and entrepreneur. Assistant professor at WU Vienna.


Manuel Riel, MSc

Responsible for the QUASAR Cloud, GUI development, and integration. Master from the University of Vienna. Experience as project lead for numerous IT projects.


Prof. Dr. David Wozabal

Expert for energy modeling and responsible for MATLAB 2 QUASAR. PhD in statistics and operations research. Associate professor at TU München.


Dr. Markus Hummel, MBA

Responsible for sales and consultancy. PhD in economics from Vienna, MBA from Oxford University. 20+ years as consultant and in M&A for the energy sector.


Dr. Thomas Maindl

External partner (Dr. Maindl Consulting) with excellent track record in training, quantitative consulting, and implementation for multinational companies. PhD in astronomy.