Babypreethi M S’ Post

Dear Connections & Researchers, anybody is doing research with ML and DL techniques, Solar PV, DC - DC Converters can go through our result findings.Thank you all.I am very happy to share that our paper Titled :Using Hybrid firebug swarm optimization and jellyfish search to enhance DC- DC Converter efficiency in solar PV systems published in Environment, Development and Sustainability Springer Q1 4.7 IF.Thanks to God Almighty and other co- authors.

One of my first scientific publications (pergamon press) on the decarbonization of power plants using solar energy ... 1997 and a first prototype was built by my start-up in Switzerland in 2000 "CO2 MITIGATION THROUGH THE USE OF HYBRID SOLAR-COMBINED CYCLES"

☀ Organic solar cells are among the most promising photovoltaic technologies in terms of performance and possible application. However, a big challenge is to increase their poor stability, which is due to intrinsic degradation processes. Discover how scientists from Technical University of Munich tackled this challenge on our latest highlight: https://bit.ly/3JeHpMU

We have currently started our Research Oriented Project. In this research I and my team will demonstrate our skills and ability of solving real world problems. Our project is based on Machine learning, in which we will develop intelligent system for Real time solar panel fault and damage detection, to isolate the damage and faulty solar panel from the solar power plant to enhance solar power plant efficiency.

Have you seen our latest Materials Horizons 10th anniversary Reflection article written by Fang-Xing Xiao and Bin Liu looking back on their very first Materials Horizons publication on an LbL self-assembly strategy for the preparation of a rutile@anatase TiO2 NRs@CdS QDs ternary core–shell heterostructure? The authors reflect on their publication during the inaugural year of the journal and review the subsequent research on LbL assembly mediated interface design triggered by this work. They aim to explore in depth the key role of the interface engineering afforded by this booming strategy in finely regulating the charge transport and separation for solar energy conversion. Read the article here: 🔗https://lnkd.in/eTqBpEgR Why not also read our other insightful Reflection articles in the collection? 👉https://lnkd.in/eSx9QCKS

We have recently published a study titled "The Impact of Charge Carrier Dynamics on the Outdoor Performance of Cesium-Lead-Halide Perovskite Photovoltaics." You can find the link below. https://lnkd.in/gw2QSh5p

Happy to announce that the last study of my PhD has finally been published! We developed a quasi-static closed loop wind farm control methodology which utilizes a wake model and a fatigue load look up table to perform performance optimization of wind farms, and tests it in an aeroelastic Large Eddy Simulation framework. We also showcase the capability of such a farm controller to adapt to turbine downtime and determine new state of optimal operation through wake steering. Thank you to my supervisor Johan Meyers for his guidance, and my thesis student Christophe del Fosse et d'Espierres for developing and validating the load look up table! For those interested, the text is available open source in the journal Wind Energy (https://lnkd.in/eJwtEYxN). My PhD text is also available online in KU Leuven repositories (https://lnkd.in/ecYGu42k)

Sta-bility or Not Sta-bility, that is the question. The answer of course is stability. And long term stability of perovskite solar cells is paramount. Without it, PSCs will only be useful in a handful of niche use cases. Our latest research blog, written by Fluxim's Dr. Antonio Cabas Vidani and in collaboration with our colleagues at the Laboratory for Thin Films and Photovoltaics at Empa looks a Aging and Characterization of High-Band Gap Solar Cells. This blog is useful for researchers who are looking to enhance their understanding of high-bandgap solar cells and explore advanced techniques for improving their performance and durability. Read it here: https://lnkd.in/etFAQDKB Jarla Thiesbrummel Kristofer Tvingstedt Davide Bartesaghi

🔥 Read our Highly Cited Paper  📚 GCN–Informer: A Novel Framework for Mid-Term Photovoltaic Power Forecasting 🔗 https://lnkd.in/eeppCvmd 👨🔬 by Wei Zhuang et al. 🏫 Nanjing University of Information Science and Technology #photovoltaic #powergeneration #deeplearning

☀️ New publication!! ⬇️ Network science can improve the sustainable development of solar energy - https://lnkd.in/ehKVWJCP There is so much important dual-use solar (e.g. agrivoltaics & ecovoltaics) research, but site-specific designs and methods make it challenging to compare across sites and draw broader conclusions. After running into this challenge again and again, Matthew Sturchio, Christopher Toy, Alex Siggers, Tim Ohlert and I started thinking about the role network science could play in facilitating more coordinated science and moving this field forward. Here, we offer our perspective on the value of a network science approach to dual-use solar research. On a personal note, this is my first peer reviewed publication (🥳) and feels like a big step in my journey as a scientist!!