Learning Vector Quantization based predictor model selection for hourly load demand forecasting
E Akarslan - Applied Soft Computing, 2022 - Elsevier
The development of smart grids has enabled a wide variety of generation units to be
included in the grid, which has made it necessary to predict the load demand to manage the …
included in the grid, which has made it necessary to predict the load demand to manage the …
[HTML][HTML] Pave the way for sustainable smart homes: A reliable hybrid AC/DC electricity infrastructure
The development of emerging smart grid technologies has led to more and more penetration
of renewable energy resources and electric energy storage in the residential sectors …
of renewable energy resources and electric energy storage in the residential sectors …
A novel approach based on a feature selection procedure for residential load identification
E Akarslan, R Doğan - Sustainable Energy, Grids and Networks, 2021 - Elsevier
Identification of load in a grid is an essential part of the management of grid and security. In
this study, a novel load identification model, a combination of a feature selection method and …
this study, a novel load identification model, a combination of a feature selection method and …
A novel approach for residential load identification based on dynamic time warping
This paper proposes a new approach for load identification using a combination of fast
Fourier transform (FFT) and dynamic time warping (DTW) techniques. In this approach, first …
Fourier transform (FFT) and dynamic time warping (DTW) techniques. In this approach, first …
A real-time embedded system designed for NILM studies with a novel competitive decision process algorithm
This paper explores the determination of any load or load combination in a power system at
any moment. This process requires measurements at the main electric utility service entry of …
any moment. This process requires measurements at the main electric utility service entry of …
A Novel Lane-Changing Recognition Method Using Frequency Analysis
X Hou, W Li, B Zou, L Tang, K Wang… - … Engineering, Part A …, 2023 - ascelibrary.org
Lane-changing recognition is an important task for advanced driver assistance systems, but
is heavily challenged by poor driving habits, such as turning without using turn signals. To …
is heavily challenged by poor driving habits, such as turning without using turn signals. To …
Techno-Economic Analysis of A Lead-Acid Battery-Supported Fuel Cell for A Stand-Alone Residential House in Turkey
M Aktaş, R Doğan - Journal of Materials and Mechatronics: A, 2022 - dergipark.org.tr
The penetration rate of renewable energy sources is increasing day by day. However, most
depend on the weather conditions such as solar, wind, precipitation, etc. This dependency …
depend on the weather conditions such as solar, wind, precipitation, etc. This dependency …
Application of Elman and NCA to uncover most informative parameter for load forecasting
E Akarslan, FO Hocaoğlu - 2021 18th International Conference …, 2021 - ieeexplore.ieee.org
Energy management is one of the critical issues for planning various energy sources for
optimum operation. On the other hand, both consumption and production sides must be …
optimum operation. On the other hand, both consumption and production sides must be …