UM Behavioral Insights Center (UM-BIC)’s Post

Insights from this years fall edition of THEMAs Power Market Outlook! - Read more about the edition: https://lnkd.in/dFHn7rcR - Read about the Power Market Outlook product here: https://lnkd.in/d5Gytq5c

I was delighted to host our latest webinar alongside my Baringa colleagues – Francesca Tedeschi, Pavlos Trichakis and Mark Turner, to explore some of the latest trends in European Power Markets. It was a lively discussion across demand-side changes, commercial and risk management structures, and the impact on investors and developers.  After the tumultuous year of 2022, we started by asking whether the last 18 months of relative stability in power and gas markets are now the new normality, or have we been lulled into a false sense of security, and could we quickly revert to conditions of extreme volatility once again?   The discussion then moved into three thematics that will shape the near term 1) The growth in demand from AI and data processing.... a Chat GPT query consumes 25 times more power than a simple internet query. Imagine the scale of demand that can be ‘shifted’ across globally connected data centres to optimise across pricing and emissions! 2) The residual impact of the price shocks in 2023 saw a surging demand for offtakers to enter into CPPAs, but the recent stability in prices has since corrected the market  3) In a world of tightening margins, developers need to remain laser focused on supply chain and route to market capability, with margins moving from development to operational assets  Watch here https://lnkd.in/dZe-Xd3C

Great conversation on European power market trends. One particular point of note is that tighter margins are driving a focus on route to market commercial structures and value capture capabilities. Well worth a listen.

The Energy practice at Charles River Associates continues to bolster our sophisticated power market modeling suite. Read more about CRA AdequacyX below and feel free to get in touch should you like to further discuss. CRA AdequacyX is an artificial intelligence-driven resource adequacy model, a Monte Carlo-based loss of load, utilizing artificial intelligence and synthetic data to simulate future conditions in the grid, such as changing load shapes and generator unit reliability. https://lnkd.in/etsfym7a

🚀 Proud to have been part of the team behind CRA AdequacyX! Our new AI-enabled resource adequacy and cost risk assessment model is built to guide clients through today’s power market complexities. The whitepaper we just released dives into how AdequacyX helps clients make strategic decisions—whether it’s for integrated resource planning, risk and vulnerability analysis, transaction advisory, or strategic investment insights. AdequacyX enables clients to balance decarbonization with reliability and cost management while modeling scenarios for future resilience. Check out how CRA is shaping smarter, more resilient energy systems: https://lnkd.in/epSADh5s Let’s connect if you’re interested in resource adequacy! #ResourceAdequacy #EnergyTransition #Decarbonization #Reliability #AI #EnergyInnovation #CostRisk #PowerMarkets #Sustainability #InvestmentSupport #IRP #EnergyResilience #EnergyVulnerability #CRA

Are you ready for Flow-Based Market Coupling in the Nordics? We are! Get in touch to learn more about how we can help you prepare, and of course register for our webinar

It's amazing to see that well into the 21st century, the speculations based on the lack of basic knowledge could still be successful. A very good response from the industry is here: https://lnkd.in/gdFnZqhm

Excited to share that my first single-author paper has just been published in Operations Research and Decisions - Journal! 🎉 🎊 Link to the paper ➡️ https://lnkd.in/dxDebPc9 In this study, I explore the effectiveness of different regularization penalty functions in electricity price forecasting. Key findings include: ✨ LQ and elastic net penalties emerged as top performers, slightly outperforming widely-used LASSO. ✨ Cross-validation is more effective than Bayesian information criteria for parameter optimization. #research #electricitymarkets #machinelearning #regularization #forecasting

Matter of facts, IT dep has grown to the next level, from service to strategy. In the article an interesting analysis.

Wondering which markets will really unlock the true value of virtual power plants? 🤔 I too crave answers, so I'm happy to turn to Dr. @Brock Mosovsky, who has led complex analysis projects for resource aggregation. 🔋 In two weeks, on April 17th, Brock will unveil his findings on VPPs, batteries, and the profitable opportunities available under evolving US regulations in the webinar I'm co-moderating "Virtual Power Plants: Separating Fact from Fiction", organized by narrativio GmbH and Commodity Technology Advisory LLC. With a PhD in applied mathematics and over 12 years of quantitative modeling experience under his belt as Co-Founder and VP Analytics of @cQuant.io, Brock is uniquely positioned to cut through the current VPP hype to talk facts. His company now stands as an industry leader in energy analytics, providing the sophisticated modeling platforms needed to evaluate new opportunities like VPPs. 📆 So join me on April 17th, where you have the unique opportunity to tap into Brock's VPP market insights. You can also learn more about cQuant beforehand at https://cquant.io. 🎟️ Sign up now to reserve your virtual seat for April 17th at 🔗 https://lnkd.in/d2j4RDne #VPP #VPPfactfiction #gridflexibility #energytransition