Publications by Stefano Moret | EPFL Graph Search

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Given the challenges related to climate change and dependency from fossil fuels, modification of the energy systems infrastructure to increase the share of renewable energy is a priority in urban energy planning. The high heating density in cities makes it ...

Various countries and communities are defining or rethinking their energy strategy driven by concerns for climate change and security of energy supply. Energy models, often based on optimization, can support this decision-making process. In the current ene ...

Various countries and communities are defining strategic energy plans driven by concerns for climate change and security of energy supply. Energy models can support this decision-making process. The long-term planning horizon requires uncertainty to be acc ...

Urban systems account for about two-thirds of global primary energy consumption and energy-related greenhouse gas emissions, with a projected increasing trend. Deep geothermal energy and woody biomass can be used for the production of heat, electricity and ...

Biomass chemical conversion processes allow the production of solid, liquid and gaseous biofuels, which can substitute almost any kind of fossil fuel and the associated greenhouse gas emissions. Despite this potential, high investment costs and conversion ...

The transition towards more sustainable, fossil-free energy systems is interlinked with a high penetration of stochastic renewables, such as wind and solar. In this context, energy storage technologies of different kinds - namely electrical, thermal and ch ...

The planning of national power systems is traditionally based on long-term forecasts of electricity demand and fuel prices. However, over such long time horizons (20-50 years), these forecasts often prove to be inaccurate. As an example, wrong projections ...

The transition towards more sustainable, fossil-free energy systems is interlinked with a high penetration of stochastic renewables, such as wind and solar. Integrating these new energy resources and technologies will lead to profound structural changes in ...

We develop an energy calculator within an online teaching platform to aid citizens and decision-makers understanding an energy system. The model, designed in order to be easily adapted to any energy system at national or regional scale, is presented and ap ...

The dramatic evidence of climate change is making the transition to more renewable energy systems an urgent global priority. As energy planners normally look 20-50 years ahead, it is crucial to consider the key uncertainties stemming from inaccurate foreca ...

Optimization models for long-term energy planning often feature many uncertain inputs, which can be handled using robust optimization. However, uncertainty is seldom accounted for in the energy planning practice, and robust optimization applications in thi ...

The proliferation and rapid diffusion of fake news on the Internet highlight the need of automatic hoax detection systems. In the context of social networks, machine learning (ML) methods can be used for this purpose. Fake news detection strategies are tra ...

Long-term planning for energy systems is often based on deterministic economic optimization and forecasts of fuel prices. When fuel price evolution is underestimated, the consequence is a low penetration of renewables and more efficient technologies in fav ...

Long-term planning for energy systems is often based on deterministic economic optimization and forecasts of fuel prices.When fuel price evolution is underestimated, the consequence is a low penetration of renewables and more efficient technologies in favo ...

Various countries and communities are defining strategic energy plans driven by concerns related to climate change and security of energy supply. Energy models are needed to support this decision-making process. The long time horizon inherent to strategic ...

Stefano Moret

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Spatial clustering for district heating integration in urban energy systems: application to geothermal energy

Strategic energy planning under uncertainty

Characterization of input uncertainties in strategic energy planning models

Integration of deep geothermal energy and woody biomass conversion pathways in urban systems

Optimal use of biomass in large-scale energy systems: insights for energy policy

The role of storage in the Swiss energy transition

Overcapacity in European power systems: Analysis and robust optimization approach

Optimal use of biomass in large-scale energy systems: insights for energy policy

EnergyScope TD: A novel open-source model for regional energy systems

Swiss-EnergyScope.ch: a Platform to Widely Spread Energy Literacy and Aid Decision-Making

Are renewables really that expensive? The impact of uncertainty on the cost of the energy transition

Decision support for strategic energy planning: A robust optimization framework

Automatic Online Fake News Detection Combining Content and Social Signals

Robust Optimization for Strategic Energy Planning

Robust optimization for strategic energy planning

Strategic Energy Planning under Uncertainty: a Mixed-Integer Linear Programming Modeling Framework for Large-Scale Energy Systems