Results 201 to 210 of about 990 (258)

Trained Memory of Uterine Macrophages Improves Subsequent Pregnancy Outcomes

Advanced Science, EarlyView.
This study identifies that pregnancy imprints a durable, pregnancy‐specific form of trained immune memory in uterine macrophages, marked by the emergence of LILRB3+/PIR‐B+ cells that expand across gestations, acquire a tolerogenic and metabolically rewired phenotype, and actively protect against inflammatory pregnancy loss in mice.
Jing Wang, Ning Lu, Xin‐Xiu Lin, Xu‐Hui Fang, Yi‐Hui Li, Qing‐Peng Luo, Yu‐Ting Peng, Gil Mor, Ai‐Hua Liao   +8 more
wiley   +1 more source

Optimum energy management of distribution networks with integrated decentralized PV-BES systems using SPEA2-based optimization approach. [PDF]

Sci Rep
Aksbi A, Elkafazi I, Bannari R, Bannari A, Merzouk S, Bossoufi B, Mohammed SA, Ahmad N, Elbarbary ZMS, Yessef M.   +9 more
europepmc   +1 more source

Voltage regulation in PV-rich distribution networks: an edge pipelined intelligent computing approach. [PDF]

Commun Eng
Li C, Liu J, Liu Q, Li Y, Cao Y, Li Y.
europepmc   +1 more source

Comparative study of machine learning methods for carbon metering in power generation enterprises. [PDF]

Sci Rep
Wang S, Fang B, Zhang J, Xing S, Wu J, Xiao H.   +5 more
europepmc   +1 more source

Review of challenges and key enablers in energy systems towards net zero target: Renewables, storage, buildings, & grid technologies. [PDF]

Heliyon
Fernandez MI, Go YI, Wong DML, Früh WG.
europepmc   +1 more source

Research on optimal scheduling of integrated energy system based on improved multi-objective artificial hummingbird algorithm. [PDF]

PLoS One
Wei L, Zhang F.
europepmc   +1 more source

Optimizing CHP-based multi-carrier energy networks with advanced energy storage solutions. [PDF]

Sci Rep
Hamedi A, Seifi AR, Abbasi AR, Keihan Asl D.   +3 more
europepmc   +1 more source

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Seeker Optimization Algorithm for Optimal Reactive Power Dispatch

IEEE Transactions on Power Systems, 2009
Optimal reactive power dispatch problem in power systems has thrown a growing influence on secure and economical operation of power systems. However, this issue is well known as a nonlinear, multimodal and mixed-variable problem. In the last decades, computation intelligence-based techniques, such as genetic algorithms (GAs), differential evolution (DE)
Xuexia Zhang
exaly   +2 more sources

Differential evolution approach for optimal reactive power dispatch

Applied Soft Computing Journal, 2008
Differential evolution based optimal reactive power dispatch for real power loss minimization in power system is presented in this paper. The proposed methodology determines control variable settings such as generator terminal voltages, tap positions and the number of shunts to be switched, for real power loss minimization in the transmission system ...
M. Varadarajan, K. S. Swarup 0001
exaly   +2 more sources

On Optimal Grid Partitioning for Distributed Optimization of Reactive Power Dispatch

2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2021
Distributed optimization has been shown to be one promising method for tackling reactive power dispatch, however the performance of distributed algorithms is known to be dependent on how the given problem is partitioned. The question of how to optimally partition a power grid for use in distributed optimization remains open in the literature.
Alexander Murray, Michael Kyesswa, Hüseyin Kemâl Çakmak, Veit Hagenmeyer   +3 more
openaire   +2 more sources