PSO-Based Smart Grid Application for Sizing and Optimization of Hybrid Renewable Energy Systems. [PDF]
Mohamed MA, Eltamaly AM, Alolah AI.
europepmc +1 more source
U.S. Agriculture, Biofuel Markets, and Trade: Challenges and Opportunities
ABSTRACT Using an enhanced Computable General Equilibrium (CGE) model (GTAP‐BIO), this study assesses how the expansion in demand for Electric Vehicles (EVs) and the reduction in exports of agricultural products induced by trade disputes negatively affect US agriculture.
Rayan Wolf, Farzad Taheripour
wiley +1 more source
Techno-economic optimization of a hybrid microgrid with integrated backup storage and vehicle-to-grid functionality. [PDF]
Abd-Elhady NN +3 more
europepmc +1 more source
Sonocatalytic carbon dioxide reduction for syngas production over surface‐roughened CuxO catalyst
Abstract The transition to a carbon‐circular economy requires efficient technologies for converting CO2 into value‐added chemical feedstocks. Sonocatalytic CO2 conversion has recently emerged as a compelling approach to drive this conversion. Here, we report a surface‐roughened CuxO catalyst for sonocatalytic CO2 reduction in aqueous media, achieving a
Dong Xia +5 more
wiley +1 more source
Hydrogen-Based Long-Duration Energy Storage: Technologies, System Integration, and Techno-Economic Performance. [PDF]
Haggam RA +4 more
europepmc +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
A probabilistic multi objective decision framework for reactive power planning in der integrated microgrids enhancing sustainability and resilience in the egyptian grid. [PDF]
Elazab R +3 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
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 +5 more
wiley +1 more source
Hybrid computational intelligence framework for accurate wind power forecasting and grid integration applications. [PDF]
Alkhrissat T +7 more
europepmc +1 more source
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 +2 more
wiley +1 more source

