An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
The Development and Evaluation of a Retrieval-Augmented Generation Large Language Model Virtual Assistant for Postoperative Instructions. [PDF]
Haider SA +9 more
europepmc +1 more source
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Not Ready for Prime Time: Limitations of a Retrieval-Augmented Generation Large Language Model in Assessing Risk of Bias in Observational Studies. [PDF]
Beber SA +4 more
europepmc +1 more source
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source
Retrieval-augmented generation for interpreting clinical laboratory regulations using large language models. [PDF]
Nanua S +4 more
europepmc +1 more source
Development of a cancer information chatbot model: Retrieval-augmented generation with data from the national center for cancer knowledge and information. [PDF]
Jeong E +5 more
europepmc +1 more source
Materials Dual-Source Knowledge Retrieval-Augmented Generation for Local Large Language Models in Photocatalysts. [PDF]
Takahara W +8 more
europepmc +1 more source
Construction of intelligent decision support systems through integration of retrieval-augmented generation and knowledge graphs. [PDF]
Wang S, Yang H, Bai G.
europepmc +1 more source
An Innovative Retrieval-Augmented Generation Framework for Stage-Specific Knowledge Translation in Biomimicry Design. [PDF]
Chen HK, Wang HH.
europepmc +1 more source

