Publications related to Energy market

Maintenance and optimization of the TCV power supply

Damien Fasel, Ugo Siravo, Jérémie Dubray

The TCV tokamak is powered by a flywheel generator to supply the magnetic coils and the auxiliary heating systems. The generator has just undergone its fourth major overhaul to make it ready for the next ten years, after more than thirty years of almost tr ...

Elsevier Science Sa2024

Multi-time integration approach for combined pulp and ammonia production and seasonal CO2 management

François Maréchal, Daniel Alexander Florez Orrego, Meire Ellen Gorete Ribeiro Domingos

In this work, the gasification of the black liquor is proposed as an alternative ammonia production route. Due to the seasonal variation of the energy prices, a multi-time integration approach that combines different technologies and energy inputs is used ...

2023

AIDRES: A database for the decarbonisation of the heavy industry in Europe

François Maréchal, Luc Girardin, Daniel Alexander Florez Orrego, Ivan Daniel Kantor, Shivom Sharma, Meire Ellen Gorete Ribeiro Domingos, Rafael Amorim Leandro De Castro Amoedo, Julia Granacher, Yi Zhao

The AIDRES database aims to support the long-term objective of a fully integrated industrial strategy in the EU 27, providing a service to the European Commission and a catalogue for industries to understand the effectiveness, efficiency and cost of potent ...

Universidad de Las Palmas de Gran Canaria2023

From domestic energy demand to household activity patterns

Michel Bierlaire, Timothy Michael Hillel, Negar Rezvany

Residential building energy usage can be considered as being derived from the activity patterns of individuals inside the home. As such an activity-based energy demand model that can create in-home energy usage profiles from household activity patterns is ...

2023

PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling

Rachid Guerraoui, Alexandre David Olivier Maurer, Omid Ardakanian

Nowadays, the integration of home automation systems with smart thermostats is a common trend, designed to enhance resident comfort and conserve energy. The introduction of smart thermostats that can run machine learning algorithms has opened the door for ...

Basel2023

Optimal CAM Computation of Kaplan Turbines Accounting for Wear and Tear Originated by Frequency Control

Mario Paolone, Elena Vagnoni, Francesco Gerini

Nowadays, the importance of providing frequency stability to power systems with hydropower units is significantly increasing due to the growing proportion of volatile renewable energy sources. However, the provision of such services, as frequency containme ...

IEEE2021

A Blockchain-Supported Framework for Charging Management of Electric Vehicles

Christophe Ballif, Marina Dorokhova

Profound changes driven by decarbonization, decentralization, and digitalization are disrupting the energy industry, bringing new challenges to its key stakeholders. In the attempt to address the climate change issue, increasing penetration of renewables a ...

MDPI2021

The Effect of European Integration on Swiss Energy Policy and Governance

Matthias Finger, Paul Adrianus Van Baal

The unique “Swiss way” of association with the European Union (EU) has received increasing attention in light of recent events such as Brexit as it is based on sectoral agreements without an overarching institutional framework. As such, Europeanization of ...

2019

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Energy market

Maintenance and optimization of the TCV power supply

Multi-time integration approach for combined pulp and ammonia production and seasonal CO2 management

AIDRES: A database for the decarbonisation of the heavy industry in Europe

From domestic energy demand to household activity patterns

RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings

PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling

The digitalization of energy systems: towards higher energy efficiency

Optimal CAM Computation of Kaplan Turbines Accounting for Wear and Tear Originated by Frequency Control

A Blockchain-Supported Framework for Charging Management of Electric Vehicles

The Effect of European Integration on Swiss Energy Policy and Governance

Graph Chatbot

Chat with Graph Search

Maintenance and optimization of the TCV power supply

RECA: A Multi-Task Deep Reinforcement Learning-Based Recommender System for Co-Optimizing Energy, Comfort and Air Quality in Commercial Buildings

A Blockchain-Supported Framework for Charging Management of Electric Vehicles

Multi-time integration approach for combined pulp and ammonia production and seasonal CO2 management

PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling

Optimal CAM Computation of Kaplan Turbines Accounting for Wear and Tear Originated by Frequency Control

The Effect of European Integration on Swiss Energy Policy and Governance