Want to know more?

Other case studies

We want to analyze the weather forecasts to make an estimate of the wind energy offers that the various operators make to the "next day market", in Italy.

**The Challenge**

Predict the offer strategies of the operators and plan an offer taking into account bonuses and penalties that the market regulation foresees according to the demand/supply ratio.

**The Solution**

We use clustering techniques to reduce the dimensionality of the problem by capturing useful information from weather forecasts and train artificial intelligence models to model operator behavior based on "next day market" historical data.

**Results and Benefits** 

The analysis techniques adopted enable the planning of an "intelligent" bidding strategy.

Telco & Utilities

It is possible to use weather forecast to anticipate energy market trends thanks to artificial intelligence: visit the website and find out how!

Renewable Energy Market Forecast

Predict the behavior of complex systems to take the best decisions

Forecasting

Forecasting fluctuations in the renewable energy market

Machine learning methodologies, models, algorithms and techniques have become indispensable decision support tools in all industries, thanks to the ever-increasing availability of data. Machine learning models enable prediction, classification, anomaly identification, pattern recognition, time series analysis, in complex systems informally described by large amounts of data.

Deix is able to offer **machine learning-based** algorithmic solutions, thanks to a highly trained team and to the members of the Scientific Committee who have contributed to the development of state-of-the-art machine learning algorithms.

The particularity of Deix is that of **data-driven optimization**, i.e. of appropriately integrating machine learning and artificial intelligence techniques with optimization and control algorithms. The construction of the machine learning model obtained from the available data, which may be **texts, images, videos, historical series** is aimed at **prediction**, **pattern recognition**, **classification,** but it is also functional to the decision-making process above, which is guided by the optimization algorithm. 

In supporting design and management decisions, Deix combines the typical tools of **artificial intelligence** (neural networks, convolutional networks, deep learning, clustering, feature selection, novelty detection) with **optimization algorithms** (constrained and unconstrained) and **optimal control techniques**.

We specialize in creating Machine Learning Models. We develop Machine Learning Solutions, Applications and Algorithms: visit our website!

Renewable Energy Market Forecast

Other case studies

Adverse Events Prediction

Engine Classification