Whether your challenge can be solved by our existing products or requires the development of new analytics solutions and market design approaches, our team is ready to help.
May 23 - 25, 2023
In light of the energy crisis, an increasing number of companies are starting to leverage machine-learning techniques to optimize their performance. These algorithms enable the prediction of future energy prices and volumes with an increasingly high degree of accuracy. However, their output is not transparent and lacks interpretability. We have developed a novel algorithm achieving comparable precision to state-of-the-art algorithms such as DNN and XGBoost while providing complete interpretability of the results. This explainability makes it possible to understand the main drivers behind the predicted value as well as the impact of each of these drivers on the final result.
What will you learn?
Giancarlo holds a double master's degree in Electrical Engineering from KTH (Sweden) and INP Grenoble (France) with a specialization in Electricity Markets and Smart Grids. He has 1.5 years of experience in the Energy Storage Industry, on topics related to battery storage integration and their participation in grid balancing and wholesale energy markets. Currently he works on Techno-Economical and Business Development aspects around Grid Flexibility, Local Electricity Markets and Power System operations. Giancarlo is responsible for leading the commercial development of N-SIDE's Energy Forecasting Solution
N-SIDE’s forecasting solutions support market participants to perform more informed trades on short-term electricity markets. Our Energy Forecasting Solution encompasses a unique combination of cutting edge, data-driven analytics and energy markets domain expertise.
N-SIDE is also a trusted provider of auction-based power-matching algorithms for the largest power exchanges and system operators in Europe and India.