Results 71 to 80 of about 277,821 (256)
HEURISTIC METHODS TO SOLVE OPTIMAL POWER FLOW PROBLEM
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
Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley +1 more source
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 +2 more
doaj +1 more source
We describe detailed protocols for the purification and preparation of Marchantia polymorpha Auxin Response Factor 2 (MpARF2). This protein is fused to an MBP solubility tag and an mNG fluorescent tag and is purified from Escherichia coli. The presented procedures make it possible to study MpARF2 assemblies, which could arise from phase separation ...
Bas Janssen +5 more
wiley +1 more source
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
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
Transient Stability Constraints for Optimal Power Flow Considering Wind Power Uncertainty
To address the issue of uncertainty in renewable energy and its impact on the safe and stable operation of power systems, this paper proposes a transient stability constrained optimal power flow (TSCOPF) calculation method that takes into account the ...
Songkai Liu +5 more
doaj +1 more source
Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi +19 more
wiley +1 more source
ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen +7 more
wiley +1 more source
Optimal Power Flow With Regression-Based Small-Signal Stability Constraints
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 +3 more
doaj +1 more source
Optimal Power Flow in Electrical Microgrids
First of all, a state of the art regarding the methods to solve optimal power flow (OPF) and its application in electrical microgrids are presented in this article. Afterward, a mathematical algorithm based on the gradient method is proposed to implement OPF to a low-power electrical microgrid, with the objective of improving the voltage's ...
F. A. Heredia-Ramirez +2 more
openaire +2 more sources

