Sign up to save your podcasts
Or
Share Europe’s largest machine: The energy grid
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Europe’s largest machine: The energy grid
This KickstartAI Podcast episode features Johan de Vries from Dexter Energy, discussing how data flows to manage Europe's complex energy grid, which he calls “Europe's largest machine.” Topics include predictive analytics, market dynamics, and future energy trends.
Highlights
Dexter Energy at a Glance:
Forecasting: Using weather data to predict renewable energy production at high resolutions.
Trading optimization: Helping clients strategically participate in energy markets.
Asset steering: Managing assets like renewable curtailment and battery usage in real-time.
Changes in the Energy Landscape:
Increasing volatility: The shift to renewables introduces unpredictability in both supply and demand.
Prosumers and electrification: Rooftop solar and electric vehicles add complexity.
Grid interconnection: Europe's grid needs constant balancing from Portugal to Latvia.
Market Overview:
Day-ahead market: Main market based on next-day forecasts.
Intraday market: Short-term adjustments before actual delivery.
Imbalance market: Corrects differences between forecast and real usage.
Ancillary services: Provides rapid-response backup capacity.
Real-World Insights: Spain/Portugal Outage:
France's strong market participation and connectivity helped minimize impact during the recent outage.
Market Challenges:
"Curse of success:" Dexter's growing market presence can influence market prices.
Market sensitivity: Different regions respond uniquely, influencing strategies.
Data challenges: Varying transparency across countries drives innovation in data collection.
Dexter's Technical Approach:
Data teams: Specialized teams for meteorology and market data.
Predictive models: Forecast energy and prices.
Decision engines: Optimize market strategies and asset steering.
- Scalable solutions: Developing flexible components for new markets.
The Future with AI:
Battery integration: Enhancing renewables with optimized battery storage.
Automation: Essential for real-time grid management.
Traditional sources: Gas remains crucial for immediate grid stability.
Dexter's Culture:
Core Skills: Forecasting, optimization, and deep energy expertise.
Collaborative environment: Driven by a passion for meaningful impact on the energy transition.
View all episodes
By KickstartAIThis KickstartAI Podcast episode features Johan de Vries from Dexter Energy, discussing how data flows to manage Europe's complex energy grid, which he calls “Europe's largest machine.” Topics include predictive analytics, market dynamics, and future energy trends.
Highlights
Dexter Energy at a Glance:
Forecasting: Using weather data to predict renewable energy production at high resolutions.
Trading optimization: Helping clients strategically participate in energy markets.
Asset steering: Managing assets like renewable curtailment and battery usage in real-time.
Changes in the Energy Landscape:
Increasing volatility: The shift to renewables introduces unpredictability in both supply and demand.
Prosumers and electrification: Rooftop solar and electric vehicles add complexity.
Grid interconnection: Europe's grid needs constant balancing from Portugal to Latvia.
Market Overview:
Day-ahead market: Main market based on next-day forecasts.
Intraday market: Short-term adjustments before actual delivery.
Imbalance market: Corrects differences between forecast and real usage.
Ancillary services: Provides rapid-response backup capacity.
Real-World Insights: Spain/Portugal Outage:
France's strong market participation and connectivity helped minimize impact during the recent outage.
Market Challenges:
"Curse of success:" Dexter's growing market presence can influence market prices.
Market sensitivity: Different regions respond uniquely, influencing strategies.
Data challenges: Varying transparency across countries drives innovation in data collection.
Dexter's Technical Approach:
Data teams: Specialized teams for meteorology and market data.
Predictive models: Forecast energy and prices.
Decision engines: Optimize market strategies and asset steering.
- Scalable solutions: Developing flexible components for new markets.
The Future with AI:
Battery integration: Enhancing renewables with optimized battery storage.
Automation: Essential for real-time grid management.
Traditional sources: Gas remains crucial for immediate grid stability.
Dexter's Culture:
Core Skills: Forecasting, optimization, and deep energy expertise.
Collaborative environment: Driven by a passion for meaningful impact on the energy transition.