This paper presents a novel framework that integrates Linear Temporal Logic over Finite Traces (LTL<inf>f</inf>) with the expressive capabilities of Answer Set Programming (ASP). Combining these two powerful formalisms enables efficient reasoning in complex, temporally dynamic, and knowledge-rich environments, making it well-suited for green-aware applications that demand sustainable resource management and reduced environmental impact. The proposed framework supports the querying of evolving ASP knowledge bases, allowing both brave and cautious inferences aligned with temporal constraints. We detail the foundational principles of the framework and explore its potential applications in environmentally conscious scenarios.