Assessment of effective reactive power reserve in power system networks under uncertainty applying coronavirus herd immunity optimizer (CHIO) for operation simulation [PDF]
Electric Power Systems Research, 2023 Tanmoy Malakar
exaly +1 more source
Coronavirus herd immunity optimizer (CHIO) [PDF]
, 2020 Abstract In this paper, a new nature-inspired human-based optimization algorithm is proposed which called Coronavirus Herd Immunity Optimizer (CHIO). The inspiration of CHIO is originated from the herd immunity concept as a way to tackle coronavirus pandemic (COVID-19).
Al-Betar MA +3 more
europepmc +2 more sources
A model predictive control approach to optimally devise a two-dose vaccination rollout: A case study on COVID-19 in Italy [PDF]
, 2021 The COVID-19 pandemic has led to the unprecedented challenge of devising massive vaccination rollouts, toward slowing down and eventually extinguishing the diffusion of the virus.
Calafiore G. C. +3 more
core +5 more sources
Predicting COVID-19 vaccination intention: the determinants of vaccine hesitancy [PDF]
, 2021 Data is available at https://doi.org/10.17605/OSF.IO/TR2P3. Analysis code was written in R and Python and is available at https://nunokf.github.io/Predicting-COVID-19-Vaccination-Intention-The-Determinants-of-Vaccine-Hesitancy-/.Do people want to be ...
Arantes, Joana +4 more
core +1 more source
Lightning search algorithm: a comprehensive survey [PDF]
, 2022 The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is proposed in 2015 to solve constraint optimization problems.
Abualigah, L +5 more
core +1 more source
An efficient honey badger algorithm for scheduling the microgrid energy management
Energy Reports, 2023 Nowadays, it is essential for modern grids to operate at optimal scheduling, this helps in reducing the energy costs, mitigating the pollutant emissions, and making better use of renewable energy resources (RESs) such as photovoltaic (PV) and wind ...
Ahmed Fathy +4 more
doaj +1 more source
COVID-19 Outbreak Prediction with Machine Learning [PDF]
, 2020 : Several outbreak prediction models for COVID-19 are being used by officials around the world to make informed decisions and enforce relevant control measures. Among the standard models for COVID-19 global pandemic prediction, simple epidemiological and
Mosavi, Amirhosein
core +2 more sources
IEEE Access, 2022 Wireless Mesh Networks (WMNs) have rapid real developments during the last decade due to their simple implementation at low cost, easy network maintenance, and reliable service coverage.
Sylia Mekhmoukh Taleb +5 more
doaj +1 more source
Mathematics, 2022 This paper proposes an economical-environmental-technical dispatch (EETD) model for adjusted IEEE 30-bus and IEEE 57-bus systems, including thermal and high penetration of renewable energy sources (RESs).
Ziad M. Ali +3 more
doaj +1 more source
Los confinamientos de la población por el Covid-19 pueden empeorar las desigualdades socioeconómicas que impactan de forma desproporcionada en las minorías raciales: rentabilidad aumentada por aprendizaje automático y análisis ético computacional [PDF]
, 2021 The novel coronavirus disease of 2019 (Covid-19) produced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a pandemic creating a growing global health crisis given its novelty, scope, and initially limited efficacious treatment ...
Gallagher, Colleen M. +5 more
core +2 more sources