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  • title: Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes
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            Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes
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            Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes

            Dez 2, 2022

            Sprecher:innen

            AZ

            Alona Zharova

            Řečník · 0 sledujících

            AB

            Annika Boer

            Řečník · 0 sledujících

            JK

            Julia Knoblauch

            Řečník · 0 sledujících

            Über

            Transparent, understandable, and persuasive recommendations support the electricity consumers’ behavioral change to tackle the energy efficiency problem. This paper proposes an explainable multi-agent recommendation system for load shifting for household appliances. First, we extend a novel multi-agent approach by designing an Explainability Agent that provides explainable recommendations for optimal appliance scheduling in a textual and visual manner. Second, we enhance the predictive capacity…

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            N2

            NeurIPS 2022

            Účet · 962 sledujících

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