Sampled-data control under time-varying delays: a robust approach for high-renewable smart grids. [PDF]
Hassan M.
europepmc +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Fuzzy time series for short-term residential load forecasting in smart grids. [PDF]
Kazim U +7 more
europepmc +1 more source
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
Optimization of power management in PV-based smart grids using grid-support and grid-forming inverters. [PDF]
Bagdadee AH +4 more
europepmc +1 more source
Ensemble learning approach for advanced metering infrastructure in future smart grids. [PDF]
Irfan M +10 more
europepmc +1 more source
An AI‐enabled micromixing framework is developed by integrating cGAN with Bayesian optimization for predictive control of microrobot‐driven flow manipulation. Through this framework, the spatiotemporal evolution of micromixing is learned directly from experimental images, while rapid identification of optimized microrobot actuation strategies is ...
Dineshkumar Loganathan, Chia‐Yuan Chen
wiley +1 more source
Data-driven closed-loop decision support system for renewable energy management in smart grids with integrated forecasting, optimization, and storage modeling. [PDF]
Du D, Wan C, Xie J, Zhao Y, Chen C.
europepmc +1 more source
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang +7 more
wiley +1 more source
A stacked Gradient Boosting-XGBoost ensemble with ridge meta-learner for accurate short-term solar PV power forecasting in smart grids. [PDF]
Rohini G +3 more
europepmc +1 more source

