Artificial Intelligence for Next Generation Energy

Resultado final

Documents/actions for the Open Call 2 preparation.

AI-related Ethical Guidelines and Recommendations

D22 will assess the ethical and legal principles that must be followed by AI systems and develop a set of recommendations for instantiation of such systems in the energy domain

Specifications of the I-NERGY - AI4EU Cross-Fertilisation, Synergies and Alignment

D24 will include the specifications of INERGY AI4EU crossfertilisation synergies and alignment

Open Call Evaluation Report (both open calls)

Open Calls' launch, management, dissemination, evaluation of proposals and FSTP agreements.

Open Call Package of Documents (Call 1)

Documents/actions for the Open Call 1 preparation.

I-NERGY Pilots Evaluation, Best Practices and Replication Guidelines

An overall assessment and evaluation of the I-NERGY impact will be presented in D5.5. Lessons learnt from the I-NERGY (regarding the implementation, operation and execution of the pilots) will be resented in D5.5, formulating them as methodological adoption guidelines for the further exploitation and utilisation of the I-NERGY.

Business and Exploitation Plan

A plan for exploiting each one of the INERGY assets will be specified including exploitation of the asset by individual partners where applicable and joint exploitation notably in cases where the assets will have been produced by more than one partners

I-NERGY Technology Requirements & User Stories

D21 will include the definition of the user stories and specification of the AI value chain functionalities as well as the AI energy analytics services specifications

I-NERGY Pilots Execution Documentation (1st version)

D52 will document the pilots operation and execution consolidating the input of Tasks 5254 and also evaluate the first version of the INERGY technological solutions

Community Building Activities Report

All the community building activities in Task 6.5 will be reported.

I-NERGY Components, Services & Architecture (first version)

D23 will include the architecture diagrams and design documents regarding the platform the components and the tobedeveloped INERGY services while it will also define and describe the API interfaces that will be implemented

I-NERGY Pilots Execution Documentation (final version)

D5.4 will document the pilots’ operation and execution consolidating the input of Tasks 5.2-5.4 and also evaluate the final version of the I-NERGY technological solutions.

Report on Technology Transfer Experiments

A report on Technology Transfer Programmes, outlining a summary of each one of the stages and the impact.

Final Version of the I-NERGY Architecture and I-NERGY - AI4EU Synergies

D2.5 will provide the final version of the AI conceptual architecture build on existing resources of the AI4EU platform. I-NERGY - AI4EU synergies will be also reported.

Pilot Planning, Preparation, and M&V Plan

D51 will describe the steps and procedures for deployment validation of the AI energy analytics services in the reallife pilot operation demonstrators A Baseline Assessment report for each pilot case will be provided

Report on I-NERGY contributions to AI4EU research activities

D2.6 will include all I-NERGY contributions to the AI4EU research activities.

I-NERGY Pilots Execution Documentation (2nd version)

D53 will document the pilots operation and execution consolidating the input of Tasks 5254 and also evaluate the second version of the INERGY technological solutions

I-NERGY Data Interoperability and Processing Management Services (final technology release)

The deliverable will include the design and delivery of all modules of the Data Services Layer (final version).

I-NERGY Energy Analytics Applications (final technology release)

The deliverable will include the design and delivery of all modules of the Application Layer and the respective AI Energy Analytics Services (final version).

I-NERGY Energy Analytics Applications (upgraded)

The deliverable will include the design and delivery of all modules of the Application Layer and the respective AI Energy Analytics Services (upgraded version, integrating the results from WPs 5-6).

I-NERGY Data Interoperability and Processing Management Services (1st technology release)

The deliverable will include the design and delivery of all modules of the Data Services Layer (first version).

I-NERGY Data Interoperability and Processing Management Services (2nd technology release)

The deliverable will include the design and delivery of all modules of the Data Services Layer (second version).

I-NERGY Energy Analytics Applications (2nd technology release)

The deliverable will include the design and delivery of all modules of the Application Layer and the respective AI Energy Analytics Services (second version).

I-NERGY Models, ΑΙ methods and Tools (final technology release)

The deliverable will include the design and delivery of all modules of the ML Models Layer (final version).

I-NERGY Models, ΑΙ methods and Tools (1st technology release)

The deliverable will include the design and delivery of all modules of the ML Models Layer first version

I-NERGY Models, ΑΙ methods and Tools (2nd technology release)

The deliverable will include the design and delivery of all modules of the ML Models Layer (second version).

I-NERGY Energy Analytics Applications (1st technology release)

The deliverable will include the design and delivery of all modules of the Application Layer and the respective AI Energy Analytics Services first version

Data Management Plan

This report will outline the Data Management Plan and ensure GDPR Compliance It will be updated when deemed necessary

I-NERGY Community Portal

The Portal will offer a common repository to find documents and information related to INERGY project and social communication tools

Publicaciones

Exploiting RES for Hydrogen mobility: a new scenario for the company's fleet management

Autores: Marco Antonio Bucarelli; Federico Carere; Tommaso Bragatto; Francesca Santori
Publicado en: Edición 1, 2021, ISBN 978-1-6654-3290-0
Editor: IEEE
DOI: 10.1109/IREC52758.2021.9624830

An end-to-end approach for scalable real time Anomaly detection in smart buildings

Autores: Evangelos Karakolis; Konstantinos Alexakis; Panagiotis Kapsalis; Spiros Mouzakitis; John Psarras
Publicado en: Edición 1, 2022
Editor: 13th IEEE International Conference on Information, Intelligence, Systems and Applications (IISA)
DOI: 10.5281/zenodo.6866446

In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance

Autores: Sotiris Pelekis; Evangelos Karakolis; Francisco Silva; Vasileios Schoinas; Spiros Mouzakitis; Georgios Kormpakis; Nuno Amaro; John Psarras
Publicado en: Edición 1, 2022
Editor: 13th IEEE International Conference on Information, Intelligence, Systems and Applications (IISA)
DOI: 10.5281/zenodo.6866505

Artificial Intelligence for Next Generation Energy Services Across Europe - The I-NERGY Project

Autores: Evangelos Karakolis; Sotiris Pelekis; Spiros Mouzakitis; Ourania Markaki; Aikaterini Papapostolou; Giorgos Korbakis; John Psarras
Publicado en: Edición 1, 2022, Página(s) 61-68, ISBN 978-989-8704-38-2
Editor: IADIS International Conference e-Society 2022 (e-Society 2022)
DOI: 10.5281/zenodo.6811482

Comparative Assessment of Shifted Frequency Modeling in Transient Stability Analysis using the Open Source Simulator DPsim

Autores: Ghassen Nakti, Jan Dinkelbach, Markus Mirz, Antonello Monti
Publicado en: 2022 Open Source Modelling and Simulation of Energy Systems (OSMSES), 2022, ISBN 978-1-6654-1008-3
Editor: IEEE
DOI: 10.1109/osmses54027.2022.9769135

I-NERGY: Delivering the next-generation Artificial Intelligence services for the Energy Sector

Autores: Georgios Lampropoulos; Sotiris Pelekis; Vagelis Karakolis; Gerasimos Anastasatos; Georgios Kormpakis; Ioannis Tsapelas; Spyridon Mouzakitis; Vangelis Marinakis; John Psarras
Publicado en: Edición 1, 2021
Editor: 31st European Conference on Operational Research (EURO 2021)
DOI: 10.5281/zenodo.6811619

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