Blar i Institutt for industriell økonomi og teknologiledelse på forfatter "Gabriel, Steven Adam"
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Demand Response as a Real-Time, Physical Hedge for Retail Electricity Providers: The Electric Reliability Council of Texas Market Case Study
Blohm, Andrew; Crawford, Jaden; Gabriel, Steven Adam (Peer reviewed; Journal article, 2021)Residential demand response (DR) programs are generally administered through an electricity distribution utility, or an electric grid operator. These programs typically reduce electricity consumption by inducing behavioral ... -
Inverse Equilibrium Analysis of Oligopolistic Electricity Markets
Risanger, Simon; Fleten, Stein-Erik; Gabriel, Steven Adam (Peer reviewed; Journal article, 2020)Inverse equilibrium modeling fits parameters of an equilibrium model to observations. This allows investigation of whether market structures fit observed outcomes and it has predictive power. We introduce a methodology ... -
A stochastic MPEC approach for grid tariff design with demand‑side fexibility
Askeland, Magnus; Burandt, Thorsten; Gabriel, Steven Adam (Peer reviewed; Journal article, 2023)As the end-users increasingly can provide flexibility to the power system, it is important to consider how this flexibility can be activated as a resource for the grid. Electricity network tariffs is one option that can ... -
Strategic generation investment using a stochastic rolling-horizon MPEC approach
Kallabis, Thomas; Gabriel, Steven Adam; Weber, Christoph (Peer reviewed; Journal article, 2020)Investments in power generation assets are multi-year projects with high costs and multi-decade lifetimes. Since market circumstances can significantly change over time, investments into such assets are risky and require ... -
Uncovering Strategies and Commitment Through Machine Learning System Introspection
Allen, Julia Filiberti; Schmidt, Steve; Gabriel, Steven Adam (Journal article; Peer reviewed, 2023)Deep neural networks are naturally “black boxes”, offering little insight into how or why they make decisions. These limitations diminish the adoption likelihood of such systems for important tasks and as trusted teammates. ...