Modeling and Assessment of Urban Energy Systems

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Adiabatic quantum-flux parametron (AQFP) is an energy-efficient superconducting technology. Before physical design can be performed, AQFP technology mapping involves not only mapping logic into supported gate types but also legalizing the circuit to fulfil ...

Shoreline protection systems composed of fibre-polymer composite structures immersed in seawater may efficiently contribute to mitigate impacts of climate change, such as more frequent and severe coastal flooding and storm surges, and significant rises of ...

Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most existing performance prediction methods heavily rely on the source data in their ...

Reflective writing is known as a useful method in learning sciences to improve the metacognitive skills of students. However, students struggle to structure their reflections properly, limiting the possible learning gains. Previous works in educational tec ...

The transition to a low-carbon economy can create new job opportunities but may cause job displacement in some sectors that heavily rely on fossil fuels. In order to gain a balanced appraisal in understanding the broader consequences of climate policies, t ...

The fabrication process of triple-cation-halide organic inorganic perovskites must be tightly controlled to make high-efficiency solar cells. After precursor deposition, the amount of oxygen and moisture during the annealing process is important but not al ...

Accurate forecasting of photovoltaic (PV) power production is crucial for the integration of more renewable energy sources into the power grid. PV power production is highly intermittent, due to the stochastic cloud behaviour and cloud dynamics. Previous w ...

The transition from fossil-based to renewable energy sources requires the adoption of intermittent, decentralized energy generation technologies. Therefore, the integration of energy storage technologies is becoming increasingly important. The impact of op ...

The recent geopolitical conflicts in Europe have underscored the vulnerability of the current energy system to the volatility of energy carrier prices. In the prospect of defining robust energy systems ensuring sustainable energy supply in the future, the ...

In light of the challenges posed by climate change and the goals of the Paris Agreement, electricity generation is shifting to a more renewable and decentralized pattern, while the operation of systems like buildings is increasingly electrified. This calls ...

The aluminium sector relies on natural gas for the conversion of recycled scrap into new feedstock, which results in substantial atmospheric emissions. Hydric resources are also impacted, as they serve as heat sinks for the waste heat generated during the ...

Buildings play a pivotal role in the ongoing worldwide energy transition, accounting for 30% of the global energy consumption. With traditional engineering solutions reaching their limits to tackle such large-scale problems, data-driven methods and Machine ...

This research aims to compare the greenhouse gas (GHG) emissions of new neighbourhood projects near the Rhône River in France and Switzerland. The study considers the influence of the river on energy demand and resilience to climate change of 12 project-ba ...

To support the decarbonisation of the power sector and offset the volatility of a system with high levels of renewables, there is growing interest in residential Demand-Side Management (DSM) solutions. Traditional DSM strategies require consumers to active ...

Building climate risk assessment involves benchmarking a building's energy use intensity against decarbonisation pathways to mitigate the impacts on climate change. Various climate risk assessment tools and frameworks are used for commercial buildings in d ...

The electrification of the transport sector is a key element in decarbonizing our societies. However, energy systems will have to cope with additional electricity demand due to the charging needs of electric vehicles (EVs) together with the integration of ...

The European Union's Green Deal aims for a 55% reduction in greenhouse gas emissions by 2030. To reach this goal, a massive integration of Renewable Energy Sources (RES) into the power grid is necessary. As RES become a large part of the electricity genera ...

Solar photovoltaics (PV) is one of the most competitive renewable energy technologies in order to meet the increasing global energy demand and decrease CO2 emissions by competing effectively with fossil fuels. One of the important applications of PV energy ...

In the past few years, Machine Learning (ML) techniques have ushered in a paradigm shift, allowing the harnessing of ever more abundant sources of data to automate complex tasks. The technical workhorse behind these important breakthroughs arguably lies in ...

In this thesis, we study two closely related directions: robustness and generalization in modern deep learning. Deep learning models based on empirical risk minimization are known to be often non-robust to small, worst-case perturbations known as adversari ...

Modeling and Assessment of Urban Energy Systems

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Technology Legalization and Optimization for Adiabatic Quantum-Flux Parametron

Composite engineering structures in seawater − Review of durability and environmental performance

Source-Free Domain-Invariant Performance Prediction

Metacognition meets AI: Empowering reflective writing with large language models

Industrial European regions at risk within the Fit for 55: How far implementing CBAM can mitigate?

Impact of processing atmosphere on nanoscale properties of highly efficient Cs0.05MA0.05FA0.9PbI3 perovskite solar cells

Network time series forecasting in photovoltaics power production

Thermal Energy Storage in Multi-Energy System Optimization: How to Consider Temperatures?

Identification of typical district configurations: A two-step global sensitivity analysis framework

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Renewable energy integration and waste heat valorization in aluminum remelting for co-producing kerosene and methanol

Fusing Pre-existing Knowledge and Machine Learning for Enhanced Building Thermal Modeling and Control

The Effect of Rivers on Energy Balance at the Neighborhood Scale. A comparative analysis of four Rhodanian sites in France and Switzerland

Beyond the average consumer: Mapping the potential of demand-side management among patterns of appliance usage

Climate risk assessment of buildings: An analysis of operating emissions of commercial offices in Australia

From PV to EV: Mapping the Potential for Electric Vehicle Charging with Solar Energy in Europe

Advanced control strategies to exploit the hydropower potential enhancing ancillary services provision to the power system

Reliability and Long-term Performance of Building Integrated Photovoltaic (BIPV) Modules

Topics in statistical physics of high-dimensional machine learning

Understanding generalization and robustness in modern deep learning