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Mostrando ítems 41-50 de 50
Artículo
Optimal Micro-Siting of Weathervaning Floating Wind Turbines
(MDPI, 2021-02)
This paper presents a novel tool for optimizing floating offshore wind farms based on weathervaning turbines. This solution is grounded on the ability of the assembly (wind turbine plus floater) to self-orientate into the ...
Capítulo de Libro
Influence of kNN-Based Load Forecasting Errors on Optimal Energy Production
(2003)
This paper presents a study of the influence of the accuracy of hourly load forecasting on the energy planning and operation of electric generation utilities. First, a k Nearest Neighbours (kNN) classification technique ...
Ponencia
Discovering Patterns in Electricity Price Using Clustering Techniques
(2007)
Clustering is a process of grouping similar elements gathered or occurred closely together. This paper presents two clustering techniques, K-means and Fuzzy Cmeans, for the analysis of the electricity prices time series. ...
Artículo
Impact of domestic PV systems in the day-ahead Iberian electricity market
(Elsevier, 2021-03)
The integration of residential photovoltaic (PV) systems for self-consumption is expected to unlock a variety of economic, technical and social benefits, such as the creation of local work and the reduction of the price ...
Artículo
Sharing approaches in collective self-consumption systems: A techno-economic analysis of the Spanish regulatory framework
(Elsevier, 2023)
This paper proposes an analysis of the current regulatory framework for collective self-consumption in Spain. This regulatory framework proposes a model based on constant distribution coefficients for the allocation of ...
Capítulo de Libro
A Comparison of Two Techniques for Next- Day Electricity Price Forecasting
(2002)
In the framework of competitive markets, the market’s participants need energy price forecasts in order to determine their optimal bidding strategies and maximize their benefits. Therefore, if generation companies have a ...
Capítulo de Libro
Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours
(2002)
In today’s deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected price profiles help market participants to determine their bidding strategies. Consequently, accuracy ...
Artículo
Multi-objective optimization of a uniformly distributed offshore wind farm considering both economic factors and visual impact
(Elsevier, 2022-08)
The investment profitability is the strongest economic driver when deciding the location, and optimizing the orientation and layout of a wind power plant. However, and despite of their usual good social acceptance, wind ...
Tesis Doctoral
Optimización global de parques eólicos mediante algoritmos evolutivos
(2008-12-05)
Dada la complejidad estructural del problema, tanto desde el punto de vista técnico -económico como desde el puramente matemático, y como una primera aproximación a su solución, el problema de la optimización global del ...
Ponencia
Integration of Renewable Energies and Power Quality in the University of Seville Electrical Engineer Curricula
(2007)
Renewable energies and power quality have increasingly become a big concern over the last decade, being preferential subjects in research, development and innovation projects world wide. University’s academic programs ...