Bhuiyan, 2021, Internet of Things (IoT): a review of its enabling technologies in healthcare applications, standards protocols, security, and market opportunities, IEEE Internet Things J., 8, 10474, 10.1109/JIOT.2021.3062630
Zeadally, 2020, Design architectures for energy harvesting in the Internet of Things, Renew. Sustain. Energy Rev., 128, 10.1016/j.rser.2020.109901
Calautit, 2021, Low power energy harvesting systems: state of the art and future challenges, Renew. Sustain. Energy Rev., 147, 10.1016/j.rser.2021.111230
Omairi, 2017, Power harvesting in wireless sensor networks and its adaptation with maximum power point tracking: current technology and future directions, IEEE Internet Things J., 4, 2104, 10.1109/JIOT.2017.2768410
Sanislav, 2021, Energy harvesting techniques for Internet of Things (IoT), IEEE Access, 9, 39530, 10.1109/ACCESS.2021.3064066
Mayer, 2021, Smart power unit—mW-to-nW power management and control for self-sustainable IoT devices, IEEE Trans. Power Electron., 36, 5700, 10.1109/TPEL.2020.3031697
Maroti, 2022, The state-of-the-art of power electronics converters configurations in electric vehicle technologies, Power Electronic Devices and Components, 1, 10.1016/j.pedc.2021.100001
Vakacharla, 2020, State-of-the-art power electronics systems for solar-to-grid integration, Sol. Energy, 210, 128, 10.1016/j.solener.2020.06.105
Newell, 2019, Review of power conversion and energy management for low-power, low-voltage energy harvesting powered wireless sensors, IEEE Trans. Power Electron., 34, 9794, 10.1109/TPEL.2019.2894465
Forouzesh, 2017, Step-up DC–DC converters: a comprehensive review of voltage-boosting techniques, topologies, and applications, IEEE Trans. Power Electron., 32, 9143, 10.1109/TPEL.2017.2652318
Ferreira Carvalho, 2016, Voltage step-up circuits, 73
2022, Power electronic devices and components, the heart of energy management, Power Electronic Devices and Components, 1
Munk-Nielsen, S., Tutelea, L. N., & Jaeger, U. (n.d.). Simulation with ideal switch models combined with measured loss data provides a good estimate of power loss. Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129), vol. 5, 2915–2922. https://doi.org/10.1109/IAS.2000.882580.
Pejovic, 1994, A method for fast time-domain simulation of networks with switches, IEEE Trans. Power Electron., 9, 449, 10.1109/63.318904
Acciani, 2009, Time domain analysis of switching circuits by using the simulink-based co-simulation, IEEE EUROCON, 2009, 256, 10.1109/EURCON.2009.5167640
Dobrowolski, 2016
Ning, 2019, Feasibility and limitation of DC/DC multilevel converter power ICs using standard CMOS transistors, 107
Lakkas, 2016, MOSFET power losses and how they affect power-supply efficiency, Anal. Appl., 10, 22
Schrom, 2006, Optimal design of monolithic integrated DC-DC converters, 1
2000
Raisbeck, 1954, A definition of passive linear networks in terms of time and energy, J. Appl. Phys., 25, 1510, 10.1063/1.1702374
Yu, 2013, RWCap: a floating random walk solver for 3-d capacitance extraction of very-large-scale integration interconnects, IEEE Trans. Comput. Aided Des. Integrated Circ. Syst., 32, 353, 10.1109/TCAD.2012.2224346
Yu, 2021, Advancements and challenges on parasitic extraction for advanced process technologies, 841
Yu, 2014, Advanced field-solver techniques for RC extraction of integrated circuits
Gong, 2010, A parasitic extraction method of VLSI interconnects for pre-route timing analysis, 871
Yang, 2021, CNN-cap: effective convolutional neural network based capacitance models for full-chip parasitic extraction
Song, 2018, A distributed parallel random walk algorithm for large-Scale capacitance extraction and simulation, 189
Liu, 2001
Jauregui
Li, 2015, Understanding switching losses in SiC MOSFET: toward lossless switching, 257
Rodríguez, 2010, An insight into the switching process of power MOSFETs: an improved analytical losses model, IEEE Trans. Power Electron., 25, 1626, 10.1109/TPEL.2010.2040852
Tanimoto, 2016, Power-loss prediction of high-voltage SiC-mosfet circuits with compact model including carrier-trap influences, IEEE Trans. Power Electron., 31, 4509, 10.1109/TPEL.2015.2477413
Locorotondo, 2019, Analytical model of power MOSFET switching losses due to parasitic components
Bergveld, 2009, A 65-nm-CMOS 100-MHz 87%-efficient DC-DC down converter based on dual-die system-in-package integration, 3698
In press - G. Vergos, V. Gogolou, C. Panagiotopoulou, A. Avgoustidis, T. Noulis, K. Siozios, S. Siskos, “Machine Learning Based Power Converter Large Signal Simulation for Energy Harvesting Applications”, 30th IFIP/IEEE International Conference on Very Large Scale Integration, October 3-5, (Patras, Greece).