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Merlinda Andoni

Researcher at Heriot-Watt University

Publications -  29
Citations -  1841

Merlinda Andoni is an academic researcher from Heriot-Watt University. The author has contributed to research in topics: Stackelberg competition & Wind power. The author has an hindex of 8, co-authored 23 publications receiving 873 citations.

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Blockchain technology in the energy sector: A systematic review of challenges and opportunities

TL;DR: This work provides a comprehensive overview of fundamental principles that underpin blockchain technologies, such as system architectures and distributed consensus algorithms, and discusses opportunities, potential challenges and limitations for a number of use cases, ranging from emerging peer-to-peer energy trading and Internet of Things applications, to decentralised marketplaces, electric vehicle charging and e-mobility.
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Smart contracts in energy systems: A systematic review of fundamental approaches and implementations

TL;DR: In this article , the authors provide a broad perspective on the opportunities and challenges that stakeholders using this technology face, in both current and emergent markets, such as peer-to-peer energy trading platforms.
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Peer-to-peer, community self-consumption, and transactive energy: A systematic literature review of local energy market models

TL;DR: In this article , a review of 139 peer-reviewed journal articles examines the market designs used in these energy trading models and identifies five evidence gaps which require future research before these markets could be widely adopted, including the lack of: consideration of physical constraints; a holistic approach to market design and operation; consideration about how these market designs will scale; consideration of information security; and, consideration of market participant privacy.
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Optimization of a multiple-scale renewable energy-based virtual power plant in the UK

TL;DR: In this article, the authors developed several optimization and forecasting methods, and applied them to model the operation of multiple renewable generators across Scotland, trading energy as a single virtual power plant (CVPP).
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Game-theoretic modeling of curtailment rules and network investments with distributed generation

TL;DR: This work studies the properties of several curtailment rules widely used in UK renewable energy projects, and their effect on the viability of renewable generation investment, and proposes a new curtailment rule which guarantees fair allocation of curtailment amongst all generators with minimal disruption.