2023 • Erico Kutchartt, José R. González-Olabarria, Antoni Trasobares, Sergio de-Miguel, Adrián Cardil, Brigite Botequim, Vassil Vassilev, Palaiologos Palaiologou, Martino Rogai, Francesco Pirotti

2023 • Cathelijne R. Stoof, Edwin Kok, Adrián Cardil Forradellas, Margreet J. E. van Marle

2024 • Erico Kutchartt, José Ramón González-Olabarria, Antoni Trasobares, Núria Aquilué, Juan Guerra-Hernández, Leónia Nunes, Ana Catarina Sequeira, Brigite Botequim, Marius Hauglin, Palaiologos Palaiologou, Adrián Cardil, Martino Rogai, Vassil Vassilev, Francois Pimont, Olivier Martin-Ducup, Francesco Pirotti

2024 • Erico Kutchartt, José Ramón González-Olabarria, Núria Aquilué, Jordi Garcia-Gonzalo, Antoni Trasobares, Brigite Botequim, Marius Hauglin, Palaiologos Palaiologou, Vassil Vassilev, Adrián Cardil, Miguel Ángel Navarrete, Christophe Orazio, Francesco Pirotti

This webinar discusses understanding current trends in wildfire behavior and their implications on risk and liability exposure, along with methodologies for risk assessment, mitigation strategies, and tools for real-time monitoring and response to wildfire threats.

“The technical planning was solid, the legal framework was clear, but sitting in that boardroom, she realized the hardest challenge wasn’t operational: it was cultural.“

“The lights may go out by design, but the mission has never been clearer: keeping communities safe through decisive operational decision-making.”

The webinar highlights how AI, advanced modeling, and weather data are being used for real-time wildfire risk management—enabling continuous analysis, circuit-level mitigation, and stronger response planning.

Regional assumptions are outdated. Every electric utility, regardless of location, must be prepared for compound weather risk and multi-hazard disruption.

This approach helps us determine how many resources we’ll need, how long restoration may take, and where to position staging sites.

Forecasts show the weather. Climatology shows the why behind the risk.

In this webinar, CenterPoint Energy and Technosylva explore how machine learning, predictive modeling, and AI are supporting more informed, data-driven critical decisions around grid readiness, resource planning, and resilience.

Fire is dynamic. Utilities must evolve beyond static assessments to stay ahead of the threat.

This collision demands a complete cultural overhaul, not just operational adjustments.

The credibility crisis demands a shift from passive risk assessment to active, demonstrable risk control.