Zobrazeno 1 - 10
of 478
pro vyhledávání: '"Root mean square error (RMSE)"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100868- (2024)
Accurate assessment of state of charge (SoC) is crucial for the safety and efficiency of lithium-ion batteries used in electric vehicles (EVs). For precise SoC estimation in EV BMSs, an Augmented Adaptive Extended Kalman Filter (AAEKF) has been propo
Externí odkaz:
https://doaj.org/article/15dea7ae2c7a4b29b8e6c192e4b7e3b5
Publikováno v:
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika, Vol 67, Iss 2, Pp 97-114 (2024)
The article presents the results of research on modeling the DU-06-W-200 airfoil used in wind power plants with a vertical axis in the Ansys Fluent system, evaluating compatibility with experimental data and determining the optimal angle of attack. T
Externí odkaz:
https://doaj.org/article/b03d74d5bcbb4f6d82aa7e3f1d8dff16
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 3, Pp 398-411 (2024)
AbstractTraditional analog and digital meters are being substantially replaced with technological advances and the Internet of Things (IoT) introduction. The smart meter is highly preferred for accessing real‐time consumption, tariff calculation, a
Externí odkaz:
https://doaj.org/article/3d42dd2c99f943e0861dd9cbe6a30523
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10265 (2024)
In electromechanical systems, backlash in gear trains can lead to a degradation in control performance. We propose a drive–anti-drive mechanism to address this issue. It consists of two DC motors that operate in opposite directions. One motor acts
Externí odkaz:
https://doaj.org/article/a17c5388a44c4ff1aa48f7abb3f2ddfa
Autor:
Ark Dev, Vineet Kumar, Diwaker Pathak, Ayyarao S. L. V. Tummala, Sachin Sharma, Vasudevan Kuppan
Publikováno v:
IEEE Access, Vol 12, Pp 181217-181231 (2024)
Accurate parameter estimation is essential for optimizing the performance of solar photovoltaic (PV) models. Traditional methods, such as deterministic approaches, often face challenges due to the inherent nonlinearity of PV systems, resulting in hig
Externí odkaz:
https://doaj.org/article/af778f83ca4a443990a33321e472de39
Publikováno v:
Water Practice and Technology, Vol 18, Iss 11, Pp 2775-2784 (2023)
Investigation of the water quality of rivers is a key point in Water Resources Engineering. The longitudinal dispersion coefficient is one of the foremost significant parameters in river water quality monitoring. Several parameters such as hydraulic,
Externí odkaz:
https://doaj.org/article/424ca863bd16464d8f1b3e06ccbdae2b
Autor:
Md Tahmid Hussain, Md Reyaz Hussan, Mohd Tariq, Adil Sarwar, Shafiq Ahmad, Majid Poshtan, Haitham A. Mahmoud
Publikováno v:
Frontiers in Energy Research, Vol 11 (2024)
Solar photovoltaic (PV) technology stands as a promising alternative to conventional fossil fuel-based power generation, offering pollution-free and low-maintenance energy production. To harness its potential effectively, understanding the power gene
Externí odkaz:
https://doaj.org/article/6941b12262ef4c309a6bdbdb1d56e4f4
Publikováno v:
IEEE Access, Vol 11, Pp 140186-140201 (2023)
Indoor Positioning System (IPS) is a technology used to locate and track objects or people inside buildings, by using sensors, wireless networks, or other means to determine their position. IPS has many applications in various fields such as healthca
Externí odkaz:
https://doaj.org/article/da6d8bb8f9bc4a199059c0ced138b077
Publikováno v:
IEEE Access, Vol 11, Pp 112841-112850 (2023)
Over the past decade, the Internet of Thing (IoT) devices have been deployed in wide-scale several applications to collect vast amount of data from different locations in a time-series manner. However, collected data may be missing or damaged due to
Externí odkaz:
https://doaj.org/article/bf845102b8354f49ae49656b2bca7a10
Publikováno v:
Journal of Water and Climate Change, Vol 13, Iss 12, Pp 4151-4176 (2022)
In this article, the performance evaluation of four univariate time-series forecasting techniques, namely Hyndman Khandakar-Seasonal Autoregressive Integrated Moving Average (HK-SARIMA), Non-Stationary Thomas-Fiering (NSTF), Yeo-Johnson Transformed N
Externí odkaz:
https://doaj.org/article/2f536e5de0d544c4a35fdb54ddf5d42a