Publications associées à Stochastic optimization and Markov chain-based scenario generation for exploiting the underlying flexibilities of an active distribution network

Publications associées (15)

On the Accessibility of Higher-n Phases in Formamidinium-based Ruddlesden-popper and Dion-jacobson Layered Hybrid Perovskites

Michael Graetzel, Ursula Röthlisberger, Pascal Alexander Schouwink, Virginia Carnevali, Nikolaos Lempesis, Vladislav Slama, Ghewa Alsabeh, Masaud Hassan S Almalki, Lorenzo Agosta

Layered (2D) hybrid perovskites offer a promising alternative for stabilizing halide perovskite materials, with a growing interest in formamidinium (FA(+)) lead iodide derivatives for photovoltaics due to their exceptional optoelectronic properties. While ...

WILEY2025

Resilience pathways for halide perovskite photovoltaics under temperature cycling

Mohammad Khaja Nazeeruddin, Guixiang Li

Metal-halide perovskite solar cells have achieved power conversion efficiencies comparable to those of silicon photovoltaic (PV) devices, approaching 27% for single-junction devices. The durability of the devices, however, lags far behind their performance ...

NATURE PORTFOLIO2025

SPFD-Based Delay Resynthesis

Giovanni De Micheli, Andrea Costamagna, Chang Meng

We propose novel algorithms for post-mapping delay optimization, referred to as delay resynthesis. The state-of-the-art approach optimizes delay by rewriting with optimal local substructures. However, it is limited to local transformations, does not exploi ...

IEEE2025

Defect Engineering and Crystallization Kinetics Control via Dual‐Functional Mercaptoacetamide for High‐Performance, Large‐Area Perovskite Solar Modules

Mohammad Khaja Nazeeruddin

Despite the rapid development of small‐area perovskite solar cells (PSCs), the performance limitations of large‐area perovskite solar modules (PSMs) hinder their commercialization. Uncontrolled crystallization kinetics and complex environmental factors in ...

Wiley2025

Masked Diffusion Strategy for Privacy-Preserving Distributed Learning

Ali H. Sayed

To protect both local gradients and estimated parameters in distributed learning, this paper introduces a masked diffusion (MD) strategy, leading to two algorithms: the MD stochastic gradient (MD-SG) and the MD primal-dual stochastic gradient (MPD-SG). The ...

2025

Smart PV Monitoring and Maintenance: A Vision Transformer Approach within Urban 4.0

Jérôme Chenal

The advancement to Urban 4.0 requires urban digitization and predictive maintenance of infrastructure to improve efficiency, durability, and quality of life. This study aims to integrate intelligent technologies for the predictive maintenance of photovolta ...

2024

Experimental investigation of repurposed Kaplan turbines as variable-speed propellers for maximizing Frequency Containment Reserve

Mario Paolone, Sidi-Rachid Cherkaoui, Elena Vagnoni, Francesco Gerini, Martin Seydoux

This study explores the practical viability of repurposing aging Kaplan turbines into variable-speed propellers by employing full-size frequency converters. The motivation behind this approach is to improve the provision of Frequency Containment Reserve (F ...

Elsevier2024

Nanostructured Fe2O3/CuxO heterojunction for enhanced solar redox flow battery performance

Giulia Tagliabue, Jiaming Ma, Milad Sabzehparvar, Ziyan Pan

Solar redox flow batteries (SRFB) have received much attention as an alternative integrated technology for simultaneous conversion and storage of solar energy. Yet, the photocatalytic efficiency of semiconductor-based single photoelectrodes, such as hemati ...

Royal Society of Chemistry2024

An elliptical nanoantenna array plasmonic metasurface for efficient solar energy harvesting

Amir Jafargholi

Plasmonic metasurfaces with subwavelength nanoantenna arrays have attracted much attention for their ability to control and manage optical properties. Solar absorbers are potential candidates for effectively converting photons into heat and electricity. Th ...

Royal Soc Chemistry2024

Designing with building-integrated photovoltaics (BIPV): A pathway to decarbonize residential buildings

Emmanuel Rey, Sophie Lufkin, Sergi Aguacil Moreno, Sebastian Duque Mahecha

The ambitious targets set for greenhouse gas emissions and energy efficiency by 2050 demand a critical increase of building renovation rates. This challenge is shared by most Western nations, including Europe and Switzerland, where the current annual renov ...

Elsevier BV2024

Insights Into the Role of π-Electrons of Aromatic Aldehydes in Passivating Perovskite Defects

Likai Zheng

Carbonyl-containing aromatic ketones or aldehydes have been demonstrated to be effective defect passivators for perovskite films to improve performances of perovskite solar cells (PSCs). It has been claimed that both π-electrons within aromatic units and c ...

Wiley-VCH Verlag GmbH2024

Interfacial toughening for high-efficiency perovskite solar modules

Mohammad Khaja Nazeeruddin

The distinctive benefits of perovskite solar cells, such as their lightweight nature, high flexibility, and ease of deformation, have garnered significant interest. These characteristics make them well-suited for use in portable electronic devices. Neverth ...

2024

Advanced High-Throughput Rational Design of Porphyrin-Sensitized Solar Cells Using Interpretable Machine Learning

Michael Graetzel, Shaik Mohammed Zakeeruddin, Aswani Yella

Accurately predicting the power conversion efficiency (PCE) in dye-sensitized solar cells (DSSCs) represents a crucial challenge, one that is pivotal for the high throughput rational design and screening of promising dye sensitizers. This study presents pr ...

2024

Visible Light-Triggered Self-Welding Perovskite Solar Cells and Modules

Mohammad Khaja Nazeeruddin, Paul Joseph Dyson, Yong Ding

Flexible perovskite solar cells (F-PSCs) are highly promising for both stationary and mobile applications because of their advantageous features, including mechanical flexibility, their lightweight and thin nature, and cost-effectiveness. However, a number ...

Wiley2024

Aircraft Trajectory Planning for Climate Hotspot Avoidance Considering Air Traffic Complexity: A Constrained Multi-Agent Reinforcement Learning Approach

Maryam Kamgarpour, Tingting Ni

Planning aircraft trajectories to avoid climate-sensitive areas poses operational challenges, including increased traffic complexity and potential safety risks. This study presents a framework designed to plan operationally feasible climate-friendly routes ...

2024