An explainable multi-agent recommendation system for energy
This paper presents an explainable multi-agent recommendation system aimed at enhancing energy efficiency in private households. Our empirical results show significant
Get QuoteThe Smart Energy scaleOS™ platform, powered by the recommender engine, enables the automated identification of energy-efficient upgrades. The engine automatically analyzes building characteristics, ...
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This paper presents an explainable multi-agent recommendation system aimed at enhancing energy efficiency in private households. Our empirical results show significant
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Need AI Recommendation Engines for Your Energy & Utilities Business? Let''s discuss your specific energy & utilities requirements and build a recommendation engines solution that delivers
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One of the embodiments of the present disclosure provide an IoT system of charging pile recommendation for a new energy vehicle in a smart city, including a user platform, a service
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To conclude, our study can enhance the decision-making support capacity of product recommendation platforms by providing sentiment analysis and capturing customers'' preferences for product
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The following section reviews the purchases of new energy vehicles, product decision support based on recommendation platforms, and the decision support method based on customer
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Various new energy vehicles are provided with quantity of basic information (e.g., performance, quality, and price), which hinders potential users from effectively finding the most desired or interested new
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In new energy vehicle (NEV) recommendation platforms, customer reviews have been well recognized for their ability to provide value-added information to customers interested in purchasing...
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It optimises energy distribution, identifies new energy sources and improves grid reliability. By providing actionable insights from multiple data streams, it enables utilities to better
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Omdena and Retrolux built an AI recommender engine to optimize building energy systems, cutting costs and carbon emissions sustainably.
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To promote the intelligent transformation of NEV PRPs and improve their service quality, this study uses user comments from a platform and considers users'' purchase psychology to provide users with
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