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In recent years, an increasing number of private firms are involved in public works using the funding strategy of public-private partnerships (PPPs), especially for civil infrastructure projects such as highways and bridges. In this paper, a framework is p ...
The WORLD6 model is a fully integrated dynamic world systems model. It includes a biophysical global economic model, based on first principles of physics and thermodynamics, forcing it to be fully consistent with the underlying mass- and energy balances. T ...
Paul Scherrer Institute, World Resources Forum2019
Multi-port DC-DC converters are an attractive solution for highly flexible and efficient interface of different elements of DC grids (e.g., sources, loads, energy storage). This paper provides an analytic solution for the natural power sharing characterist ...
Hybrid organizations are an increasing phenomenon in pluralistic environments of modern societies. As this phenomenon grows, it has become more and more common that hybrids and non-hybrids compete and interact in the same market. This paper aims at investi ...
Transmission System Operators (TSOs) deploy frequency control reserves and regulating power to maintain the load-generation balance in real-time operation of power systems. In the Nordic countries, the TSOs buy regulating power from the Nord Pool regulatin ...
This thesis develops equilibrium models, and studies the effects of market frictions on risk-sharing, derivatives pricing, and trading patterns.In the chapter titled "Imbalance-Based Option Pricing", I develop an equilibrium model of fragmented options m ...
EPFL2018
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Transmission System Operators (TSOs) deploy frequency control reserves and regulating power to maintain the load-generation balance in real-time operation of power systems. In the Nordic countries, the TSOs buy regulating power from the Nord Pool regulatin ...
The paper adds to the literature on the barriers to innovation in two ways. First, we assess comparatively what mostly constrains firms' ability to translate investment in innovation activity into new products and processes, whether it is mainly finance, a ...
Decision making in electricity markets under uncertainty has worldwide gained attention due to an increasing number of uncertain parameters associated to technology developments and market evolution. Hence, the market operator faces new challenges pertaini ...
Huge scale machine learning problems are nowadays tackled by distributed optimization algorithms, i.e. algorithms that leverage the compute power of many devices for training. The communication overhead is a key bottleneck that hinders perfect scalability. ...
