Stochastic Power Generation Unit Commitment in Electricity Markets: A Novel Formulation and a Comparison of Solution Methods

Artículos similares

A Non-Extensive Statistical Physics View of the Temporal Properties of the Recent Aftershock Sequences of Strong Earthquakes in Greece

Acceso

Sophia-Ekaterini Avgerinou, Eleni-Apostolia Anyfadi, Georgios Michas and Filippos Vallianatos

Greece is one of Europe?s most seismically active areas. Seismic activity in Greece has been characterized by a series of strong earthquakes with magnitudes up to Mw = 7.0 over the last five years. In this article we focus on these strong events, namely ... ver más

Revista: Applied Sciences

A Statistical Assessment of Water Availability for Hydropower Generation in the Context of Adequacy Analyses

Acceso

Giuseppe Marco Tina and Claudio Francesco Nicolosi

The increasing presence of non-programmable renewable energy plants increases the intermittency of the electricity supply and thus threatens the adequacy of a power system. Hydropower can solve this problem due to its flexibility. This paper applies stat... ver más

Revista: Applied Sciences

A Numerical Model to Simulate the Transport of Radionuclides in the Western Mediterranean after a Nuclear Accident

Acceso

Raúl Periáñez and Carmen Cortés

The transport of radionuclides in the western Mediterranean Sea resulting from hypothetical accidents in a coastal nuclear power plant, and in a vessel with nuclear power or transporting radioactive material, was assessed with a Lagrangian model develope... ver más

Revista: Journal of Marine Science and Engineering

Periodic and Non-Periodic Brainwaves Emerging via Stochastic Syncronization of Closed Loops of Firing Neurons

Acceso

Piero Mazzetti and Anna Carbone

Periodic and non-periodic components of electrophysiological signals are modelled in terms of syncronized sequences of closed loops of firing neurons correlated according to a Markov chain. Single closed loops of firing neurons reproduce fundamental and ... ver más

Revista: Algorithms

ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security

Acceso

Cong Xie, Oluwasanmi Koyejo and Indranil Gupta

Distributed machine learning is primarily motivated by the promise of increased computation power for accelerating training and mitigating privacy concerns. Unlike machine learning on a single device, distributed machine learning requires collaboration a... ver más

Revista: Algorithms

Artículos similares

Revistas destacadas