Page Text: doi 10.1098/rsta.2021.0299
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations
Authors: Jason Dykes , Alfie Abdul-Rahman , Daniel Archambault , Benjamin Bach , Rita Borgo , Min Chen , Jessica Enright , Hui Fang , Elif E. Firat , Euan Freeman , Tuna Gonen , Claire Harris , Radu Jianu , Nigel W. John , Saiful Khan , Andrew Lahiff , Robert S. Laramee , Louise Matthews , Sibylle Mohr , Phong H. Nguyen , Alma A. M. Rahat , Richard Reeve , Panagiotis D. Ritsos , Jonathan C. Roberts , Aidan Slingsby , et al. (8 additional authors not shown)
Abstract: …knowledge constructs -- a series of ideas, approaches and methods taken from existing visualization research and practice -- deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the ef… ▽ More We report on an ongoing collaboration between epidemiological modellers and visualization researchers by documenting and reflecting upon knowledge constructs -- a series of ideas, approaches and methods taken from existing visualization research and practice -- deployed and developed to support modelling of the COVID-19 pandemic. Structured independent commentary on these efforts is synthesized through iterative reflection to develop: evidence of the effectiveness and value of visualization in this context; open problems upon which the research communities may focus; guidance for future activity of this type; and recommendations to safeguard the achievements and promote, advance, secure and prepare for future collaborations of this kind. In describing and comparing a series of related projects that were undertaken in unprecedented conditions, our hope is that this unique report, and its rich interactive supplementary materials, will guide the scientific community in embracing visualization in its observation, analysis and modelling of data as well as in disseminating findings. Equally we hope to encourage the visualization community to engage with impactful science in addressing its emerging data challenges. If we are successful, this showcase of activity may stimulate mutually beneficial engagement between communities with complementary expertise to address problems of significance in epidemiology and beyond. https://ramp-vis.github.io/RAMPVIS-PhilTransA-Supplement/ △ Less
Submitted 14 April, 2022; originally announced April 2022.
arXiv:2204.06786 [ pdf ]
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Upside Risk Effect on Reliability of Microgrids Considering Demand Response Program and COVID-19: An Investigation on Health System and Power System Interactions
Authors: Tohid Khalili , Seyed Iman Habibi , Seyyed Ali Ghorashi Khalil Abadi , Sadaf Ahmadi , Ali Bidram
Abstract: COVID-… ▽ More COVID-19 has a vast impact on the power systems considering the customers demand and human resources. During this situation, the utilization of microgrids (MGs) may help the power systems balance the generation and consumption of power, which leads to customer satisfaction. In this paper, the optimal power scheduling of energy sources in an islanded MG by considering the upside risk (UR) is proposed for the very first time. The intended islanded MG consists of various sources such as wind turbine (WT), photovoltaic (PV), diesel generator (DGR), and battery. The goals of this work are minimizing the energy not supplied (ENS) in islanded mode considering the COVID-19s effect and implementing the demand response program (DRP). The difference between target ENS and actual ENS when actual ENS is less than the target is defined as UR. The results indicate that the UR related to the ENS of the islanded MG decreases significantly by slightly increasing the ENS. Moreover, COVID-19 decreases the ENS considerably and has a bigger effect than the DRP. △ Less
Submitted 14 April, 2022; originally announced April 2022.