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EVs, Heatwaves, and the Grid: How Managed Charging Delivers Reliability
This presentation explores how Orange & Rockland is using managed charging to turn rapid EV growth into a grid-strengthening asset.
Drawing on lessons from the June 2025 heatwave, it highlights ...
(Complimentary Webinar) Join Convey for a focused look at how Rich Communication Services (RCS) is transforming customer messaging. Moving beyond traditional SMS, RCS Business Messaging delivers br...
Chartwell’s Mid-Year Utility Insights: Trends Shaping the Industry
Please join us for Chartwell’s round-up of recently published research and insights. This quarter we will feature FRESH research from Chartwell's Industry Billing Survey, along with a look at recen...
Over the past several years, San Diego Gas & Electric has developed a suite of technologies to mitigate wildfires and reduce the need for public safety power shutoffs (PSPS). SDG&E launched its Wildfire Next Generation System (WiNGS) to model climate scenarios, estimate potential outcomes, and prioritize communities and assets. In 2024, SDG&E added a new layer to WiNGS to assess risks associated with temporary construction and compliance (TCC) assets. WiNGS is integrated with artificial intelligence and machine learning to analyze drone and smartphone images, allowing the utility to pinpoint infrastructure defects and wildfire risks. Through this integration, drone imagery for any TCC asset can be accessed to expedite risk analysis and, ultimately, reduce PSPS events.
Speaker:
Joaquin Sebastian Peral, Wildfire Risk Analytics Manager, SDG&E
Joaquin is an accomplished energy and analytics professional with a diverse background spanning risk management, renewable energy engineering, and data science. Currently serving as Wildfire Risk Analytics Manager at San Diego Gas & Electric, Joaquin leads strategic initiatives to model, assess, and mitigate wildfire risk, guiding data-driven initiatives that protect communities and critical infrastructure.
With nearly two decades of experience, Joaquin has held leadership roles across risk analytics, data science, and engineering, including leading risk analytics and data science teams within Asset Management and Enterprise Risk Management at SDG&E. His experience also spans pricing strategy at HP and renewable energy development with Cypress Creek Renewables and Blue Earth Solar. Joaquin’s technical expertise includes predictive modeling, statistical analysis, performance optimization, and advanced risk quantification. Joaquin applies these capabilities to support operational decision-making and shape long-term investment strategies through a data-driven, risk-informed approach.
A proven leader and problem-solver, Joaquin thrives at the intersection of engineering innovation, operational strategy, and advanced analytics—delivering impactful solutions in both corporate and utility environments.
