A methodology for energy multivariate time series forecasting in smart buildings based on feature selection

A Gonzalez-Vidal, F Jimenez, AF Gomez-Skarmeta - Energy and Buildings, 2019 - Elsevier
The massive collection of data via emerging technologies like the Internet of Things (IoT)
requires finding optimal ways to reduce the created features that have a potential impact on …

Machine learning automatic model selection algorithm for oceanic chlorophyll-a content retrieval

K Blix, T Eltoft - Remote Sensing, 2018 - mdpi.com
Ocean Color remote sensing has a great importance in monitoring of aquatic environments.
The number of optical imaging sensors onboard satellites has been increasing in the past …

Model selection process in time series analysis of production system with random output

SO Ongbali, AC Igboanugo, SA Afolalu… - IOP Conference …, 2018 - iopscience.iop.org
In time series investigation of characteristics of production system, different competing
models are generally obtained particularly in production settings with stochastic output …

A framework for developing a prognostic model using partial discharge data from electrical trees

NHA Aziz - 2018 - stax.strath.ac.uk
Insulation breakdown is a key failure mode of high voltage (HV) equipment, with progressive
faults such as electrical treeing leading to potentially catastrophic failure. Electrical treeing …

Choice of the order of the regression model for forecasting of random non-stationary economic processes

S Kubiv - Technology audit and production reserves, 2019 - journals.uran.ua
The object of research is heteroskedastic processes that affect the production of military
goods of exporting countries. Today, armed conflicts are the most significant factor affecting …

[PDF][PDF] ВИБІР ПОРЯДКУ РЕГРЕСІЙНОЇ МОДЕЛІ ПРИ ПРОГНОЗУВАННІ ВИПАДКОВИХ НЕСТАЦІОНАРНИХ ЕКОНОМІЧНИХ ПРОЦЕСІВ

ПС НЕСТАЦИОНАРНЫХ - core.ac.uk
Об'єктом дослідження є гетероскедастичні процеси, які впливають на виробництво
товарів військового призначення країн-експортерів. На сьогоднішній день збройні …

MLSurf: Surfer Motion Characterization Using Machine Learning Techniques

D Bányay - 2019 - diva-portal.org
Wave surfing is a popular sport that requires minimal financial investment, while it can still
be enjoyable from the very first attempt. At the same time, the demand for smart devices that …