Results 151 to 160 of about 12,106 (262)
Designing a Policy Mechanism for Long-Duration Energy Storage: The British Experience. [PDF]
Spyrou E, Suski A, Green R.
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
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
Optimization of wind-solar-gas-storage integrated energy systems under the carbon and green certificate markets. [PDF]
Fang D, Zhou H, Wang P, Xing Z.
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
The green spark of partial reform: Evidence from China's electricity market experiment. [PDF]
Hao X, Sun A, Song F, Zheng H, Zhang L.
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
A novel reinforcement learning-based approach for short-term load and price forecasting in energy markets. [PDF]
Wu Y, Ma Y, Aliev H.
europepmc +1 more source
Climate change: impacts on electricity markets in Western Europe. [PDF]
Golombek R, Kittelsen SA, Haddeland I.
europepmc +1 more source

