Sign Up to like & get
recommendations!
1
Published in 2021 at "Computational Economics"
DOI: 10.1007/s10614-020-10083-5
Abstract: In this study, we nowcast quarter-over-quarter US GDP growth rates between 2000Q2 and 2018Q4 using tree-based ensemble machine learning models, namely, bagged decision trees, random forests, and stochastic gradient tree boosting. To solve the ragged…
read more here.
Keywords:
ensemble models;
based ensemble;
tree based;
dynamic factors ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2019 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-019-03841-7
Abstract: This article investigates the competence of ensemble learning techniques in solar irradiance prediction. It was seen from the literature survey, an ensemble tree model, random forests is studied more frequently as ensemble models. However, ensemble…
read more here.
Keywords:
ensemble learning;
solar irradiance;
boosting bagging;
ensemble models ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.109833
Abstract: Abstract The dynamic integration of building energy models and power system models is essential to analyse the potential supply-side benefits of adopting Energy Conservation Measures (ECM) at the national, regional scale. The integration of these…
read more here.
Keywords:
methodology;
power systems;
ensemble models;
power ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161506
Abstract: Outdoor insulators may experience stress due to severe environmental conditions, such as pollution and contamination. Through the identification of partial discharges by ultrasonic noise, it is possible to assess the possibility of a power grid…
read more here.
Keywords:
ensemble models;
ensemble learning;
analysis ultrasonic;
signal ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3157520
Abstract: This letter assesses different ensemble models, exploited to forecast propagation loss in rural environments. Stacking, voting, bagging, and gradient boosted trees ensemble techniques are evaluated using path loss data recorded in various rural locations all…
read more here.
Keywords:
ensemble models;
loss;
assessment ensemble;
rural environments ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "PeerJ"
DOI: 10.7717/peerj.9853
Abstract: Drought is a natural hazard, which is a result of a prolonged shortage of precipitation, high temperature and change in the weather pattern. Drought harms society, the economy and the natural environment, but it is…
read more here.
Keywords:
monthly drought;
ensemble models;
drought;
model ... See more keywords