A comparative study of series hybrid approaches to model and predict the vehicle operating states

M Alizadeh, J Ma - Computers & Industrial Engineering, 2021 - Elsevier
With the growing complexity of modern vehicle system, the capability of modeling the
behavior of different subsystems and predicting their forthcoming patterns become vital. It …

Overview of Key Performance Indicator Anomaly Detection

S He, B Yang, Q Qiao - 2021 IEEE Region 10 Symposium …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet, web services have penetrated into all areas of
society, and ensuring the stability of web services has become more and more important …

Forecasting Accuracy Improvement of Solar Power Plant's Generation

A Bramm, A Khalyasmaa - 2021 XVIII International Scientific …, 2021 - ieeexplore.ieee.org
Forecasting RES generation is an important task both in finding the optimal location for
newly commissioned RES generation facilities, and in solving problems of existing electric …

Effect of data preprocessing on the forecasting accuracy of solar power plant

A Bramm, S Eroshenko… - 2021 XVIII International …, 2021 - ieeexplore.ieee.org
Accurate forecasting is one of the bases of the successful functioning of renewable energy
sources. The use of artificial intelligence methods makes it possible to achieve high …

[图书][B] Advanced Data Analytics Methodologies for Anomaly Detection in Multivariate Time Series Vehicle Operating Data

M Alizadeh - 2021 - search.proquest.com
Early detection of faults in the vehicle operating systems is a research domain of high
significance to sustain full control of the systems since anomalous behaviors usually result in …