Essays on where value is moving in energy — flexibility, digital security and AI. New here? Start with the flexibility value pools, then read the three-part series in order.
Latest essay
The Flexibility Value Pools That Rarely Make It Into the Business Case
Most flexibility business cases count only balancing, arbitrage and ancillary revenue. For an integrated utility, the bigger prize sits in three other books: generation (capture price, thermal efficiency, reserve opportunity cost), trading (convexity, intraday execution, lower risk capital) and retail procurement (physical hedging, firmer products). The essay shows how to size for that value — and what to stress-test before believing it: attribution, governance and the trust layer.
Read the article →Series · From Electrons to EBIT
A three-part series on where energy’s digital transformation actually makes money — best read in order.
Where the Real Money Is in Energy’s Digital Transformation
Electricity demand is set to double again, and flexibility needs will grow several-fold by 2050. Part 1 separates value earned from electrons from value earned by the enabling tech stack, then sizes the commercial, industrial and residential flexibility opportunity — including the technical, commercial and regulatory hurdles to capturing it.
Read the article →Securing the Grid Edge
As millions of distributed assets connect to the grid, cyber risk shifts from data loss to physical disruption. Part 2 explains why the grid edge is the least protected part of the energy system, where today’s OT security falls short, and why cryptographic identity for devices, data and agents is becoming both the foundation and the investable opportunity.
Read the article →The Strategic Path to Commercializing AI in Energy
AI will be everywhere in energy, but the money arrives unevenly. Part 3 explains why utilities are slow buyers of standalone AI, where AI already pays for itself — flexibility platforms, trading, security and C&I energy management — and why the shift from AI tools to autonomous agents depends on trust architectures maturing first.
Read the article →Also worth reading
KI in Kraftwerksleitwarte und Netzleitstelle: Effizienzgewinn oder systemisches Risiko?
Was Betreiber in Deutschland, Österreich und der Schweiz beachten müssen, wenn KI in Leitwarte und Netzleitstelle einzieht: wo KI in Erzeugung, Verteil- und Übertragungsnetz Nutzen stiftet, wie EU AI Act, NIS2, EnWG, NISG 2026 und StromVG ineinandergreifen, warum Netzwerksicherheit allein nicht reicht und welche sieben Maßnahmen jetzt anstehen. (German-language article)
Zum Artikel →AI in the Utility Control Room: Transformative Power or Existential Risk?
As AI takes on dispatch, switching and balancing decisions faster than any human can check, accountability gets murky — and no one can be held accountable for a decision built on data nobody can verify. Using the fast-growing GCC grids as a lens, this essay argues that “AI-ready” means a cryptographic trust layer for data and commands first, and shows how that layer also turns OT compliance into something the system proves continuously.
Read the article →Can Artificial Intelligence (AI) Keep the Lights On?
Utilities’ operational technology is more connected — and more attacked — than ever. This article looks at how AI can help close the OT security gap through real-time anomaly detection, predictive defense and automated response, and at the prerequisites that make it work: trustworthy data, protection against training-data poisoning and zero-trust control.
Read the article →Electric Vehicles: Moving from the Garage to the Grid
Parked 95% of the day, EVs are turning into flexible grid assets inside virtual power plants — and into a new attack surface. This article maps the opportunity, the main threat vectors (remote takeover, data-privacy breaches, compromised aggregator platforms, man-in-the-middle and supply-chain attacks) and the zero-trust capabilities — device identity, trusted data zones, tamper-proof audit trails — needed to scale vehicle-to-grid securely.
Read the article →Mitigating AI Security Vulnerabilities in the Electric Power Sector
AI is being pulled into the power sector by rising system complexity — and brings data poisoning, ransomware, privacy, bias and third-party risks with it. This article sets out five strategies to manage those risks, then shows how the four zero-trust principles (verify everything, least privilege, micro-segmentation, assume breach) secure AI training pipelines, live operations and vendor access.
Read the article →Digital Economy Meets Energy Transition: Data Centers as an Asset in Energy Flexibility and VPPs
The AI boom has turned data centers into the grid’s fastest-growing load — and a headache for utilities. This article argues they can also be one of its best flexibility assets: with real-time energy management, UPS batteries, adjustable cooling and shiftable workloads, data centers can join virtual power plants to cut costs, earn market revenue and support renewables — provided regulation and cybersecurity keep pace.
Read the article →Power Grids Under Attack: Are TSOs Prepared for New Data and Cyber Threats?
Redispatch programs, flexibility platforms and virtual power plants give transmission system operators new ways to keep the grid stable — and a far bigger attack surface through OT/IT convergence. This article explains why air-gapping and blockchain alone no longer protect TSOs, and makes the case for zero-trust, end-to-end data trust models that secure the data itself, wherever it travels.
Read the article →Powering the Future: Choosing the Right AI for Virtual Power Plants
Coordinating thousands of solar systems, batteries and EVs in real time is a hard control problem. This explainer compares supervised, unsupervised, deep and reinforcement learning, shows why reinforcement learning fits virtual power plants best — agents, rewards, states and policies — and walks through what it improves (dispatch, bidding, forecasting, maintenance, resilience) and where it still struggles: training, data security and explainability.
Read the article →Digital Power Plants: What Can Renewable and Thermal Operators Learn from One Another to Become AI-Ready?
End-to-end digitalization could add 20–30% EBITDA to thermal plants — and renewable fleets have similar untapped upside, yet most generators have only isolated digital pilots. This article defines the “digital power plant”, shows how a virtual operations center built on a secure data-virtualization layer creates AI readiness without moving data or weakening security, and covers what still stands in the way: air-gapping’s limits, vendor lock-in and engineering culture.
Read the article →Benefits and Challenges of Virtual Power Plants
A primer on virtual power plants: how aggregating solar, storage, EVs and heat pumps supports decarbonization, grid reliability and new income for asset owners — and the technology, security, privacy and business hurdles that come with it, from interoperability and latency to air-gapping’s limits and vendor lock-in.
Read the article →Data and Cyber Security Threats for EV Charging Infrastructure
EV charging is a very particular new energy asset — widely distributed, highly variable and increasingly wired into grid control rooms. This short piece maps why that makes charging infrastructure a growing attack surface, what research found about weaknesses in ISO 15118 and its PKI, and why device-level zero-trust approaches are needed to protect data at rest and in use.
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