Results 261 to 270 of about 62,458 (328)

Bi‐Level Coordination of Demand Response and Multiple Virtual Power Plants in a Distribution Network for Flexibility Assessment

Energy Science &Engineering, EarlyView.
This study presents a hierarchical coordination framework where multiple VPPs interact with the DSO to optimize energy trades and flexibility offers. Each VPP aggregates DERs and DR, performing internal optimization, day‐ahead bidding, and assessing flexibility to reduce excess renewable generation and pollution.
Alireza Zare, Mohammad Agha Shafiyi, Mehrdad Setayesh Nazar, Miadreza Shafie‐khah, Pierluigi Siano   +4 more
wiley   +1 more source

Sal is a proteobacterial bile acid aldolase that repurposes key thiolase catalytic residues for retroaldol cleavage of C₅ steroid side chains. [PDF]

J Biol Chem
Rolfe N, Schroeter KL, Forrester TJ, Kimber MS, Seah SY.   +4 more
europepmc   +1 more source

Analysis of Energy Consumption, Economic Efficiency and Carbon Emissions of Ice Slurry Direct Supply System: A Case Study of China

Energy Science &Engineering, EarlyView.
ABSTRACT Traditional air conditioners suffer from low energy efficiency and exacerbate grid peak loads. While ice storage offers energy‐saving potential, the systematic regulation of ice packing fraction (IPF) on cooling consumption and its synergy with dynamic carbon emissions remains unexplored.
Di Yang, Wenpeng Hong, Xu Jin
wiley   +1 more source

A design of multiple color image encryption scheme based on finite algebraic structures. [PDF]

Sci Rep
Qayyum T, Shah T, Khan I, Popa IL.
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Laser-induced nucleation of magnetic hopfions

Zheng F, Chen X, Yang D, Li Z, Guo J, Wang H, Hu Y, Kuchkin V, Savchenko A, Zhang H, Ding B, Hou Z, Shi W, Rybakov F, Eriksson O, Blügel S, Han Y, Dunin-Borkowski R, Kiselev N, Fu X.   +19 more
europepmc   +1 more source

Foundry-enabled wafer-scale characterization and modeling of silicon photonic DWDM links. [PDF]

Nanophotonics
Parsons R, Oh A, Robinson J, Wang S, Cullen M, Jang K, James A, Wang Y, Bergman K.   +8 more
europepmc   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Regularity of the edge ideals of perfect [ν,h]-ary trees and some unicyclic graphs. [PDF]

Heliyon
Tul Zahra F, Ishaq M, Aljohani S.
europepmc   +1 more source

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, EarlyView.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source