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[HTML][HTML] Modeling and optimization of energy hubs: A comprehensive review
The concept of energy hubs has grown in prominence as a part of future energy systems,
driven by the spread of Distributed Energy Resources (DERs) and the inception of the smart …
driven by the spread of Distributed Energy Resources (DERs) and the inception of the smart …
Gradient iterative algorithm for dual-rate nonlinear systems based on a novel particle filter
J Chen, J Li, Y Liu - Journal of the Franklin Institute, 2017 - Elsevier
This paper proposes a novel particle filter based gradient iterative algorithm for the
identification of dual-rate nonlinear systems. The novel particle filter is applied to estimate …
identification of dual-rate nonlinear systems. The novel particle filter is applied to estimate …
[HTML][HTML] Análisis de costos nivelados de electricidad de plantas de cogeneración usando biomasa forestal en el Departamento de Antioquia, Colombia
JD Saldarriaga-Loaiza, F Villada, JF Pérez - Información tecnológica, 2019 - SciELO Chile
En este trabajo se analizan los efectos de los incentivos tributarios de la Ley 1715 de 2014
(Ley colombiana de energías renovables) en el costo nivelado de electricidad (CNE) de …
(Ley colombiana de energías renovables) en el costo nivelado de electricidad (CNE) de …
[HTML][HTML] Estimación del costo de distribución de la energía eléctrica en Colombia considerando generación distribuida fotovoltaica
CAG Montoya, JM López-Lezama… - Información …, 2021 - SciELO Chile
Este estudio presenta una evaluación del impacto de la penetración de generación
distribuida fotovoltaica (GDF) en los costos de distribución de electricidad, proporcionando …
distribuida fotovoltaica (GDF) en los costos de distribución de electricidad, proporcionando …
An evolving possibilistic fuzzy modeling approach for value-at-risk estimation
Market risk exposure plays a key role in risk management. A way to measure risk exposure
is to evaluate the losses likely to incur when the assets prices of a portfolio decline. Most …
is to evaluate the losses likely to incur when the assets prices of a portfolio decline. Most …
Data analytics enhanced component volatility model
Volatility modelling and forecasting have attracted many attentions in both finance and
computation areas. Recent advances in machine learning allow us to construct complex …
computation areas. Recent advances in machine learning allow us to construct complex …
[HTML][HTML] Beneficios Económicos de la Gestión de la Demanda y la Energía Autogenerada en el Contexto de la Regulación Colombiana
ÁR Restrepo, SE Nope, DE Enríquez - Información tecnológica, 2018 - SciELO Chile
En este trabajo se determinan los beneficios económicos del funcionamiento de un sistema
de autogeneración eléctrica con tecnologías de energías renovables. El sistema está …
de autogeneración eléctrica con tecnologías de energías renovables. El sistema está …
Potential effect on the energetic matrix of Honduras with the installation of residential photovoltaic generators for self-consumption
JLO Fernandez, JLO Avila… - 2019 IEEE 39th Central …, 2019 - ieeexplore.ieee.org
In the energy sector, it is projected that by 2022, the generation of renewable energy in the
energy matrix will show an 80% share of renewable energy sources and 20% fossil energy …
energy matrix will show an 80% share of renewable energy sources and 20% fossil energy …
Market-based impact of a demand response program in the colombian power market
E Rodas-Gallego… - IEEE Latin America …, 2020 - ieeexplore.ieee.org
This paper presents an economic-based impact analysis of a demand response program
(DR) in the Colombian power market. Specifically, we consider the impact of a direct load …
(DR) in the Colombian power market. Specifically, we consider the impact of a direct load …
[PDF][PDF] Optimal Renewable Energy Integration into the Process Industry and Energy Infrastructure Using the Multi-Energy Hub Approach with Economic and …
S Taqvi - 2019 - uwspace.uwaterloo.ca
Fossil fuels are an integral part of the current energy infrastructure and the major contributor
towards carbon emissions. Energy intensive industries and local energy framework …
towards carbon emissions. Energy intensive industries and local energy framework …