Results 31 to 40 of about 116 (100)

Data analytics and machine learning-based stability assessment of active grids [PDF]

, 2022
This project focuses on using Gaussian Process (GP) as a machine learning tool to solve Probabilistic Optimal Power Flow for systems with load uncertainties and renewable sources.
Sai Avinash Bavan
core  

UEG Week 2022 Moderated Posters

, 2022
United European Gastroenterology Journal, Volume 10, Issue S8, Page 185-472, October 2022.
wiley   +1 more source

Preoperative Endoscopic Ultrasound Strain Elastography Has Limited Value for Predicting Intraoperative Pancreatic Texture: A Single‐Operator Pilot Study

JGH Open, Volume 9, Issue 11, November 2025.
ABSTRACT Background/Aims Soft pancreatic texture is a key risk factor for postoperative pancreatic fistula (POPF). However, preoperative quantification remains difficult. Intraoperative palpation is the current standard for assessing pancreatic hardness; however, this technique is not feasible in robot‐assisted surgery.
Kengo Matsumoto, Akira Doi, Shiro Hayashi, Masashi Yamamoto, Koji Fukui, Masafumi Yamashita, Junzo Shimizu, Tsutomu Nishida   +7 more
wiley   +1 more source

Abstracts

, 2022
Cancer Science, Volume 113, Issue S1, Page 1-1874, February 2022.
wiley   +1 more source

Unscented Transformation-based Probabilistic Optimal Power Flow [PDF]

, 2017
Renewable energy-based generation causes uncertainties in power system operation and planning due to its stochastic nature. The load uncertainties combined with the increasing penetration of renewable energy-based generation lead to more complicated ...
Qiao, Chenxi
core  

Analysis of probabilistic optimal power flow in the power system with the presence of microgrid correlation coefficients

Cogent Engineering
The uncertainty of microgrid resources in power systems has increased, which implies many challenges for their design and planning. The penetration coefficient of microgrids in power systems, as well as the high uncertainty of these sources, requires an ...
Farhad Zishan, Ehsan Akbari, Oscar Danilo Montoya   +2 more
doaj   +1 more source

Model‐based AI planning and execution platforms for robotics

AI Magazine, Volume 46, Issue 3, Fall 2025.
Abstract Model‐based planning and execution systems offer a principled approach to building flexible autonomous robots that can perform diverse tasks by automatically combining a host of basic skills. This idea is almost as old as modern robotics. Yet, while diverse general‐purpose reasoning architectures have been proposed since, general‐purpose ...
Or Wertheim, Ronen I. Brafman
wiley   +1 more source

Etezadi-Amoli, “Cost analysis of a power system using probabilistic optimal power flow with energy storage integration and wind generation [PDF]

, 2020
a b s t r a c t This paper examines the storage application and its optimal placement for the social cost and transmission congestion relief of wind integration.
Mahmoud Ghofrani, Mehdi Etezadi-Amoli, Amirsaman Arabali   +2 more
core  

Probabilistic optimal power flow analysis for optimal deployment of Unified power flow controller in renewable integrated hydro power systems using marine predators algorithm

Energy Reports
The optimal integration of renewable energy sources into power systems is a challenging but extremely important task for cost reduction to achieve environmental sustainability.
Basudeb Mondal, Soumen Biswas, Susanta Dutta, Anagha Bhattacharya, Sajjan Kumar, Soham Dutta   +5 more
doaj   +1 more source

Optimal design of wind, solar, and hydel units for solving probabilistic optimal power flow using artificial hummingbird algorithm

Energy Exploration & Exploitation
The need to transition to renewable energy sources (RESs) including wind, solar photovoltaic (PV), and hydro is highlighted by the accelerated depletion of fossil fuel reserves and the increasing need for sustainable power generation. In this regard, the
Sourav Paul, Sneha Sultana, Susanta Dutta, Provas Kumar Roy, Ghanshyam G Tejani, Seyed Jalaleddin Mousavirad   +5 more
doaj   +1 more source