Petro Gnatyuk - Academia.edu (original) (raw)

Petro Gnatyuk

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Papers by Petro Gnatyuk

Research paper thumbnail of An Artificial Intelligence‐Based Framework to Accelerate Data‐Driven Policies to Promote Solar Photovoltaics in Lisbon

Solar RRL

Due to the unavailability of up‐to‐date and georeferenced information about Lisbon's existing... more Due to the unavailability of up‐to‐date and georeferenced information about Lisbon's existing solar energy systems, tracking the progress of solar energy in relation to the city's Climate Action Plans 2030 is a complex task, thus hindering the potential of data‐driven decision‐making for a targeted implementation of photovoltaics (PV) in buildings and urban infrastructure. To overcome the challenges posed, an integrated approach to accelerate policy‐making based on artificial intelligence (AI) resources and local citizens' and stakeholders' participation is developed and piloted in Lisbon. Recurring to a two‐step AI model setup to identify and geolocate PV systems, key policy indicators are calculated to inform policy‐makers about the evolution of PV deployment in the city and contribute to tailor future incentives to more depressed or energy poor districts. The AI model based on open data orthophotos from 2016 allowed estimates for the installed peak power at the ci...

Research paper thumbnail of D2.6 Conceptual Model and Reference Architecture V1

Zenodo (CERN European Organization for Nuclear Research), Nov 10, 2022

Research paper thumbnail of D2.7 Conceptual Model and Reference Architecture V2

Zenodo (CERN European Organization for Nuclear Research), Nov 30, 2022

Research paper thumbnail of D2.3 Datasets and policies data models

Zenodo (CERN European Organization for Nuclear Research), Dec 5, 2022

This project has received funding from the European Union's Horizon 2020 research and innovation ... more This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101004480. Disclaimer: The information in this document reflects only the author's views and the European Community is not liable for any use that may be made of the information contained therein. The information in this document is provided "as is" without guarantee or warranty of any kind, express or implied, including but not limited to the fitness of the information for a particular purpose. The user thereof uses the information at his/ her sole risk and liability.

Research paper thumbnail of D5.3 Policy Extraction and Recommendations Toolkit V1

Zenodo (CERN European Organization for Nuclear Research), Oct 21, 2022

Research paper thumbnail of D4.1 Policies Explainability and Interpretation Framework V1

Zenodo (CERN European Organization for Nuclear Research), Oct 27, 2022

Research paper thumbnail of Laser Marking in Digital Encoding of Surfaces

Advanced Materials Research, 2011

In this work we consider some laser based methods and technologies for surface engraving and laye... more In this work we consider some laser based methods and technologies for surface engraving and layered marking of opaque and transparent materials. Based on that, physical object surface and sub-surface layers can be enhanced with digital codes for augmented security and more advanced human-computer interactions. Laser procedures for creating digitally encoded layers in various materials are investigated and one of the mechanisms of laser-induced formation of marks (micro-cracks) in transparent materials is discussed in more details.

Research paper thumbnail of An Artificial Intelligence‐Based Framework to Accelerate Data‐Driven Policies to Promote Solar Photovoltaics in Lisbon

Solar RRL

Due to the unavailability of up‐to‐date and georeferenced information about Lisbon's existing... more Due to the unavailability of up‐to‐date and georeferenced information about Lisbon's existing solar energy systems, tracking the progress of solar energy in relation to the city's Climate Action Plans 2030 is a complex task, thus hindering the potential of data‐driven decision‐making for a targeted implementation of photovoltaics (PV) in buildings and urban infrastructure. To overcome the challenges posed, an integrated approach to accelerate policy‐making based on artificial intelligence (AI) resources and local citizens' and stakeholders' participation is developed and piloted in Lisbon. Recurring to a two‐step AI model setup to identify and geolocate PV systems, key policy indicators are calculated to inform policy‐makers about the evolution of PV deployment in the city and contribute to tailor future incentives to more depressed or energy poor districts. The AI model based on open data orthophotos from 2016 allowed estimates for the installed peak power at the ci...

Research paper thumbnail of D2.6 Conceptual Model and Reference Architecture V1

Zenodo (CERN European Organization for Nuclear Research), Nov 10, 2022

Research paper thumbnail of D2.7 Conceptual Model and Reference Architecture V2

Zenodo (CERN European Organization for Nuclear Research), Nov 30, 2022

Research paper thumbnail of D2.3 Datasets and policies data models

Zenodo (CERN European Organization for Nuclear Research), Dec 5, 2022

This project has received funding from the European Union's Horizon 2020 research and innovation ... more This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101004480. Disclaimer: The information in this document reflects only the author's views and the European Community is not liable for any use that may be made of the information contained therein. The information in this document is provided "as is" without guarantee or warranty of any kind, express or implied, including but not limited to the fitness of the information for a particular purpose. The user thereof uses the information at his/ her sole risk and liability.

Research paper thumbnail of D5.3 Policy Extraction and Recommendations Toolkit V1

Zenodo (CERN European Organization for Nuclear Research), Oct 21, 2022

Research paper thumbnail of D4.1 Policies Explainability and Interpretation Framework V1

Zenodo (CERN European Organization for Nuclear Research), Oct 27, 2022

Research paper thumbnail of Laser Marking in Digital Encoding of Surfaces

Advanced Materials Research, 2011

In this work we consider some laser based methods and technologies for surface engraving and laye... more In this work we consider some laser based methods and technologies for surface engraving and layered marking of opaque and transparent materials. Based on that, physical object surface and sub-surface layers can be enhanced with digital codes for augmented security and more advanced human-computer interactions. Laser procedures for creating digitally encoded layers in various materials are investigated and one of the mechanisms of laser-induced formation of marks (micro-cracks) in transparent materials is discussed in more details.

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