Browsing by Author "Cipriano Lindez, Jordi"
Now showing items 1-7 of 7
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A data-driven methodology for enhanced measurement and verification of energy efficiency savings in commercial buildings
(2021-11)
Article
Open AccessMethods to obtain accurate estimations of the savings generated by building energy efficiency interventions are a topic of great importance, and considered to be one of the keys to increase capital investments in energy ... -
A review of deterministic and data-driven methods to quantify energy efficiency savings and to predict retrofitting scenarios in buildings
(2020-10)
Article
Open AccessIncreasing the energy efficiency of the built environment has become a priority worldwide and especially in Europe. Because of the relatively low turnover rate of the existing built environment, energy efficiency retrofitting ... -
Baseline energy use modeling and characterization in tertiary buildings using an interpretable bayesian linear regression methodology
(2021-09-06)
Article
Open AccessInterpretable and scalable data-driven methodologies providing high granularity baseline predictions of energy use in buildings are essential for the accurate measurement and verification of energy renovation projects and ... -
Data-driven techniques to improve the reliability of low voltage electricty networks through dynamical evaluation of non-technical losses
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference lecture
Restricted access - publisher's policyThe paradigm of electrical networks is changing rapidly due to the large penetration of renewable energy sources and other distributed generation and storage assets. The variability in the generation profile hinders the ... -
Detection of abnormal operation of PV inverters based on regressive prediction models with recursive least squares training
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-01)
Article
Open AccessThe large scale integration of photovoltaic (PV) power plants has launched the massive deployment of PV inverters. In fact, just a single multi-MW PV plant may have thousands of them, which can be also found isolated in ... -
Detection of abnormal photovoltaic systems’ operation with minimum data requirements based on Recursive Least Squares algorithms
(2024-05)
Article
Open AccessIn the last years, the massive deployment of new photovoltaic (PV) power plants has launched the connection of PV inverters to the electrical network. A single medium-sized ground-mounted PV plant may have thousands of ... -
Influencing factors in energy use of housing blocks: a new methodology, based on clustering and energy simulations, for decision making in energy refurbishment projects
(2017-04-01)
Article
Open AccessIn recent years, big efforts have been dedicated to identify which are the factors with highest influence in the energy consumption of residential buildings. These factors include aspects such as weather dependence, user ...
