Results 91 to 100 of about 297,930 (301)

Optimal power flow considering intermittent solar and wind generation using multi-operator differential evolution algorithm

In this paper, a multi-operator differential evolution algorithm (MODE) is proposed to solve the Optimal Power Flow problem, called MODE-OPF. The MODE-OPF utilizes the strengths of more than one differential evolution operator in a single algorithmic ...
Sallam, KM, Elsayed, S, Hossain, MA, Chakrabortty, RK, Abido, MA, Ryan, MJ   +5 more
core   +2 more sources

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

FEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo, Keisuke Okuno, Shuichi Watanabe, Sakiko Oba, Hiroyasu Kagawa, Masanori Tokunaga, Daisuke Ban, Yusuke Kinugasa   +7 more
wiley   +1 more source

Optimal Power Flow With Regression-Based Small-Signal Stability Constraints

IEEE Access
In modern power systems, with a growing integration of inverter-based resources, small-signal stability is becoming increasingly important. However, current practice in operation and planning studies is based on solving optimization problems, mainly ...
Francesca Rossi, Eduardo Prieto-Araujo, Marc Cheah-Mane, Oriol Gomis-Bellmunt   +3 more
doaj   +1 more source

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

HEURISTIC METHODS TO SOLVE OPTIMAL POWER FLOW PROBLEM

Electrica, 2019
Optimal Power Flow (OPF) is one of the most effective tools for both analysis of current and planning of new power systems. The Manuscript is about an Artificial Intellicence (AI) application based on Heuristic methods can solve OPF problems with an more
Rengin Idil CABADAG, Belgin Emre TURKAY
doaj   +2 more sources

Learning the optimal power flow: Environment design matters

Energy and AI
To solve the optimal power flow (OPF) problem, reinforcement learning (RL) emerges as a promising new approach. However, the RL-OPF literature is strongly divided regarding the exact formulation of the OPF problem as an RL environment.
Thomas Wolgast, Astrid Nieße
doaj   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

FEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas, Aaron D. Morgan, Ignas Čiurlionis, Christian Böhm, Stefan Jockenhövel, Willi Jahnen‐Dechent, Marc A. M. J. van Zandvoort   +6 more
wiley   +1 more source

A Market Center Based Clearing and Settlement of Pure Reactive Power Market in Deregulated Power System

Engineering Science and Technology, an International Journal, 2018
DC Power Flow Model is a constant matrix, a non-iterative model which is built into DC Optimal Power Flow Model for market clearing and settlement of real power market.
K. Sarmila Har Beagam, R. Jayashree, M. Abdullah Khan   +2 more
doaj   +1 more source

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

An optimal strategy of electrolyte flow rate for vanadium redox flow battery

, 2012
Electrolyte flow rate is a key factor that affects the performance of vanadium redox flow battery (VRFB). A kilo-watt class VRFB system is fabricated to investigate the effects of electrolyte flow rate on the performance of VRFB.
Zou, Yi, Sun, Chenxi, 张华民, Ma, Xiangkun, Zhang, Huamin, Zhang, Tao   +5 more
core   +1 more source