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Energy monitoring in the wild: platform development and lessons learned from a real-world demonstrator
Publication . Quintal, Filipe; Garigali, Daniel; Vasconcelos, Dino; Cavaleiro, Jonathan; Santos, Wilson; Pereira, Lucas
This paper presents the development and evaluation of EnnerSpectrum, a platform for
electricity monitoring. The development was motivated by a gap between academic, fully custom made monitoring solutions and commercial proprietary monitoring approaches. EnnerSpectrum is
composed of two main entities, the back end, and the Gateway. The back end is a server comprised
of flexible entities that can be configured to different monitoring scenarios. The Gateway interacts
with equipment at a site that cannot interact directly with the back end. The paper presents the
architecture and configuration of EnnerSpectrum for a long-term case study with 13 prosumers of
electricity for approximately 36 months. During this period, the proposed system was able to adapt
to several building and monitoring conditions while acquiring 95% of all the available consumption
data. To finalize, the paper presents a set of lessons learned from running such a long-term study in
the real world.
Meta-evaluating the effects of social preferences on NPC-evaluators in an energy community game
Publication . Isaza-Giraldo, Andrés; Bala, Paulo; Jiskrová, Anna; Sachser, Luiz; Campos, Pedro; Pereira, Lucas; Bala, Paulo; Pereira Campos, Pedro Filipe; Campos, Pedro; Pereira, Lucas
Energy Communities (EC) are emerging frameworks where citizens collectively share renewable energy.
Levering knowledge about this topic is challenging for how varied these types of com
munities might be and how many actors are involved in decision
taking. We are developing En-join, a game in which the player has
to solve open-ended challenges that are mediated and evaluated
by conversational agents that represent members of a EC. We im
plemented and prompted an LLM (Phi-4) to perform role-playing
and evaluation simultaneously. We tested prompt variants indicat
ing personality and behavior and meta-evaluated the evaluation
performance using six predefined answers across three levels. Our
results suggest that indicating social preferences noticeably affects
the evaluation behavior. We contribute to the field of games and
serious games by showing how LLMs can be used as conversational
characters and evaluator agents simultaneously, and suggest that
role-playing might be affecting evaluation behavior in any LLM
implementations.
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Entidade financiadora
Fundação para a Ciência e a Tecnologia
Programa de financiamento
CEEC IND 2017
Número da atribuição
CEECIND/01179/2017/CP1461/CT0020