For the direct use of solar energy via photovoltaics, in most cases no additional open space is required. This, together with the distance to the consumers, is a big advantage compared to the use of wind energy. The challenge here, however, is that the fluctuating feed-in can often only be consumed directly to a limited extent.

In order to estimate the storage requirements or the optimal system configuration, we consider the coincidence of consumption and feed-in via high-resolution time series.

Create electricity price forecasts based on current or self-defined scenarios. In doing so, you can define central influencing factors, such as the degree of expansion of renewable energies or the CO2 price.

In addition to the fundamental interrelationships of the electricity markets, other influencing factors can also be mapped stochastically.

You are missing a model, a frequently used methodology or have problems accessing specific data?

We support you in developing and implementing suitable services in modern IT structures for you and your customers. Feel free to contact us if we can support you in this!