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Alloy is a specification language based on a relational firstorder logic with built-in operators for transitive closure, set cardinality, and integer arithmetic. The Alloy Analyzer checks Alloy specifications automatically with respect to bounded domains. Thus, while suitable for finding counterexamples, it cannot, in general, provide correctness proofs. This paper presents Kelloy, a tool for verifying Alloy specifications with respect to potentially infinite domains. It describes an automatic translation of the full Alloy language to the first-order logic of the KeY theorem prover, and an Alloy-specific extension to KeY's calculus. It discusses correctness and completeness conditions of the translation, and reports on our automatic and interactive experiments.

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AMIRIS is an agent-based model (ABM) to simulate electricity markets. The focus of this bottom-up model is on the business-oriented decisions of actors in the energy system. These actors are represented as prototypical agents in the model, each with own complex decisionmaking strategies. Inter alia, the bidding decisions are based on the assessment of electricity market prices and generation forecasts (Nitsch, Deissenroth-Uhrig, et al., 2021), and diverse actors deciding on different time scales may be modelled. In particular, the agents' behavior does not only reflect marginal prices, but can also consider effects of support instruments like market premia, uncertainties and limited information, or market power (Frey et al., 2020). This allows assessing which policy or market design is best suited to an economic and effective energy system (Torralba-Díaz et al., 2020). The simulations generate results on the dispatch of power plants and flexibility options, technology-specific market values, development of system costs or CO2 emissions. One important output of the model are simulated market prices (Deissenroth et al., 2017).

In this paper we introduce FAME-Core, a Java library supporting development and execution of agent-based simulation models (ABM). It is a main component of the open Framework for distributed Agent-based Models of Energy systems. FAME-Core offers rapid development and fast simulation execution capabilities while reducing required programming skills and efforts for creating and running complex ABM.