Results 71 to 80 of about 6,123,065 (205)
FinTech and Bank Efficiency in China: Evidence From a Dynamic Network Perspective
ABSTRACT This paper examines whether and through which channels financial technology (FinTech) development improves the efficiency of commercial banks. We adopt a meso‐level perspective by measuring external FinTech exposure with two complementary indicators: industry‐level innovation intensity (FinTech‐related Bank Technology Development Awards) and ...
Lifang Li, Mengqi Ouyang, Fangming Xu
wiley +1 more source
In this paper, a multi‐objective optimization technique is proposed for the planning of a networked microgrid based on peer‐to‐grid (P2G) and peer‐to‐peer (P2P) energy trading schemes.
Liaqat Ali +3 more
doaj +1 more source
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
Microwave‐conditioned olive pomace was fractionated with deep eutectic solvents (DESs) spanning acidic, neutral, alkaline, and chemo‐enzymatic regimes. The alkaline DES provided the best balance between delignification and carbohydrate preservation, yielding a fermentable glucose/xylose stream suitable for Haloferax mediterranei fermentation and poly(3‐
Ivelina Ivaylova Dzhambazova +6 more
wiley +1 more source
Herein, a K3V2(PO4)3/graphite potassium‐ion battery is presented as a reference system to study electrolyte formulations and their degradation pathways using a complementary analytical approach to study both soluble degradation products and surface deposits at the electrode–electrolyte interface.
Celine Röder +6 more
wiley +1 more source
A Comprehensive Review of AI‐Powered Energy Systems
The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
A method for determining the maximum P2P penetration considering stakeholder benefits
The rise of distributed energy resources has empowered consumers to become prosumers, generating their own electricity. This trend has led to the development of peer‐to‐peer (P2P) energy trading, where P2P participants trade energy among themselves ...
Surapad Larbwisuthisaroj +1 more
doaj +1 more source
Application of Deep Learning in Virtual Power Plants—A Review
ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu +7 more
wiley +1 more source
Investigating the impact of P2P trading on power losses in grid-connected networks with prosumers
The extensive financial benefit that a prosumer can reap from participating in P2P trading has been shown to be unprecedented by many recent studies. However, since the actual transfer of electricity occurs over the physical network, a key question that ...
Tushar, Wayes +4 more
core +1 more source
Review and prospect of P2P energy trading market mechanism and strategy optimization
Peer-to-peer (P2P) energy trading can encourage prosumers to carry out local energy trading, and guide user-side resources including distributed energy resources (DERs), energy storage, electric vehicles (EVs) and flexible loads to participate in supply ...
Jiehui ZHENG +5 more
doaj +1 more source

