Michal Jasinski

TL;DR: The accuracy results in the identification of diseases showed that the deep CNN model is promising and can greatly impact the efficient identification of the diseases, and may have potential in the detection of diseases in real-time agricultural systems.

TL;DR: In this paper, the results have been computed based on (i) full features, (ii) correlation-based feature selection, (iii) Wrapper method feature selection and (iv) Least absolute shrinkage and selection operator regression, (v) synthetic minority over-sampling technique with least absolute shrinkages and operator regression selected features, and (vi) Synthetic minority over sampling technique with full features.

TL;DR: The article presents calculations and power flow of a real virtual power plant (VPP), containing a fragment of low and medium voltage distribution network, and identifies the maximum power capacity of DER and ESS in accordance with technical network requirements.

TL;DR: A power-quality analysis in the utility low-voltage network focusing on harmonic currents’ pollution shows that the harmonic currents produced by multiple types of nonlinear loads tend to reduce the current total harmonic distortion factor (THDI).

TL;DR: In this article, the authors proposed a hybrid decentralized robust optimization-stochastic programming (DRO-SP) model based on the alternating direction method of multipliers to coordinate the management of entities.