Results 61 to 70 of about 11,726,497 (304)

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Virtual power plant management considering energy storage systems

, 2022
S.132-137The increasing awareness of climate change and of limited fossil resources is pushing the electric power system toward a paradigm change. Renewable Energy Sources (RES) such as wind and sun will provide a higher and higher contribution to the ...
Voropai, N., Lombardi, P., Sokolnikova, T., Styczynski, Z.   +3 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

A study of parameter aggregation algorithms for virtual power plant terminal decentralized resource scheduling characteristics in alpine regions

Energy Informatics
To address the “secondary dispatch” problem in alpine virtual power plants caused by uncertainties in decentralized resource allocation, we develop an algorithm for aggregating dispatch parameters of distributed resources to achieve real-time load-demand
Yan Wang, Ruizhi Zhang, Ying Wang, Wen Xiang, Lu Wang   +4 more
doaj   +1 more source

Virtual Power Plant (VPP) Architecture Tradeoffs [PDF]

, 2023
With a broad market of Distributed Energy Resource (DER) aggregated control solutions, technology investment and implementation decisions for electric utilities and grid operators need to consider complexity, cost, and performance.
Aswani, Deepak
core  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Virtual power plant demonstration platform [PDF]

, 2019
The Virtual Power Plant Neckar-Alb is a demonstration platform for operation, optimization and control of distributed energy resources, which are able to produce, store or consume electric energy. A heterogeneous set of distributed energy devices has
Tugarinov, P., Truckenmüller, F., Truckenmüller, Frank, Nold, Bernhard, Nold, B., Tugarinov, Petr   +5 more
core   +1 more source

Virtual Power Plant Auctions [PDF]

Since their advent in 2001, virtual power plant (VPP) auctions have been implemented widely. In this paper, we describe the simultaneous ascending-clock auction format that has been used for virtually all VPP auctions to date, elaborating on other design
Peter Cramton, Lawrence M. Ausubel
core  

Using Service Oriented Architecture in a Generic Virtual Power Plant

, 2009
The purpose of this paper is to find and describe a suitable software framework that can be used to help implement the concept of a Generic Virtual Power Plant in the future power system.
Poulsen, Bjarne, Chresten Traeholt, Østergaard, Jacob, Træholt, Chresten, Peter B. Andersen, Jacob Ostergaard, Andersen, Peter Bach, Bjarne Poulsen   +7 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source