Entity page
Andrzej Misiak
CEO, Enerscape Sp. z o.o.
What he works on
Andrzej Misiak is the founder and CEO of Enerscape, a consultancy specializing in data-driven optimization of complex renewable and industrial energy portfolios. His work centers on one question: how much financial value does a portfolio actually realize per MWh produced, and where between production and final settlement is the rest being lost.
The approach behind Enerscape treats production, trading, balancing, contracts and operations as one continuous decision process. In most organizations these functions belong to separate teams with separate systems and separate KPIs. The forecasting team optimizes accuracy, the trading desk optimizes its book, operations optimizes availability, and the contract sits in a drawer. Value leaks in the gaps between them. Andrzej's work is to instrument that whole chain, measure realized value per MWh against an agreed benchmark, and improve the decisions that drive it.
How the work is run
Two principles run through everything he deploys. The first is shadow mode before live operations: every proposed optimization is tested against the client's own historical and live data, producing timestamped, logged decisions that are valued against real market outcomes before anything is allowed to touch live operations. The second is human-in-the-loop escalation: automated systems handle routine decisions around the clock, while edge cases are routed to a person through a defined escalation path. Machine learning and AI appear inside this system as tools, applied where they measurably improve a specific decision.
Background
Andrzej works hands-on with market, production and settlement data across renewables, battery storage, hybrid sites and industrial energy systems, covering topics such as route-to-market, intraday markets, balancing, PPAs and flexibility value. His writing focuses on the economics of portfolio decisions: what realized value per MWh measures, why forecast accuracy is a weak proxy for financial results, and how to benchmark an optimizer honestly.
He publishes regularly on these topics through the Enerscape knowledge hub and on LinkedIn.
TODO(human): add verifiable career detail here (dates, roles, employers). The Person entity is easier for AI systems to resolve when it can be corroborated off-domain.
Terms he works on
- realized value per MWh
- shadow-mode portfolio optimization
- portfolio value leakage
- portfolio vs asset-level optimization
Published work and talks
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Contact
Company
Enerscape Sp. z o.o. is a consultancy working on data-driven optimization of complex renewable and industrial energy portfolios.