Results 141 to 150 of about 26,564 (212)

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications. [PDF]

Sci Rep
Alkhrissat T, Abed FB, Aldulaimi S, Chohan JS, Ranganathaswamy MK, Pradhan P, Mamadiyarov Z, Nurmatovich HA.   +7 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Hydrogen-Based Long-Duration Energy Storage: Technologies, System Integration, and Techno-Economic Performance. [PDF]

Glob Chall
Haggam RA, Javed S, Van Minh N, Sivanraju R, Prabhakar P.   +4 more
europepmc   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Ultrathin Membrane With Ion‐Specific Gating Enables Interfacial Decoupling of Conductivity–Selectivity for Aqueous Flow Batteries

Angewandte Chemie, EarlyView.
An interfacial ion‐specific gating strategy shifts membrane design from ion diffusion within ion‐exchange channels to ion partitioning at the membrane–electrolyte interface, thereby decoupling selectivity from conductivity. The strategy underscores the pivotal yet underexplored role of the membrane–electrolyte interface, providing a broadly applicable ...
Di Mu, Yu Xiong, Feiran Wang, Jiafeng Lei, Fei Ai, Jun Fan, Yi‐Chun Lu   +6 more
wiley   +2 more sources

Techno-economic optimization and sensitivity analysis of a hybrid renewable microgrid for local market electrification in developing countries. [PDF]

Sci Rep
Biswas D, Ali MF, Alam MS, Obaidi O, Ali M, Imran IH.   +5 more
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Modulating Local Coordination in Single‐Atom Catalysts: From Fundamental Concepts to Emerging Breakthroughs in Electrocatalysis

Angewandte Chemie, EarlyView.
This review summarizes atomic‐level design strategies for single‐atom catalysts, emphasizing modulation of the local coordination environment, active‐site geometry, and metal‐support interactions to optimize catalytic activity and stability in electrocatalytic energy conversion applications.
Ashwani Kumar, Harun Tüysüz
wiley   +2 more sources

Integrated machine learning forecasting and grey wolf optimization for optimal operation of virtual power plants in smart distribution networks. [PDF]

Sci Rep
El Hamid AMA, Elzohri HH, Sayed K.
europepmc   +1 more source