Zobrazeno 1 - 10
of 732
pro vyhledávání: '"maximal information coefficient"'
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 5, Pp 954-971 (2024)
Long-term inflow forecasting is extremely important for reasonable dispatch schedules of hydropower stations and efficient utilization plans of water resources. In this paper, a novel forecast framework, meteorological data long short-term memory neu
Externí odkaz:
https://doaj.org/article/b0cf28b0386f44af96d71d63b36350e5
Publikováno v:
IEEE Access, Vol 12, Pp 108145-108153 (2024)
The topology and line parameters of low-voltage transformer area are often difficult to obtain, and distributed photovoltaic (PV) access makes the distribution grid’s power flow characteristic changes, which leads to high difficulty in recognizing
Externí odkaz:
https://doaj.org/article/1e449c4b009e4a99b70b84f8b52b4750
Publikováno v:
IEEE Access, Vol 12, Pp 54913-54933 (2024)
Forecasting accuracy of electricity prices is crucial to the optimal operation of the electricity market, as improper forecasting can lead to inefficiencies, increased costs, and market instability. Thus, it is highly desired to develop a robust elec
Externí odkaz:
https://doaj.org/article/770bd48f17584f7195373ea8e34b6a59
Publikováno v:
Energies, Vol 17, Iss 23, p 5848 (2024)
With the rapid development of renewable energy, accurately forecasting wind power is crucial for the stable operation of power systems and effective energy management. This paper proposes a short-term wind power forecasting method based on the Orthog
Externí odkaz:
https://doaj.org/article/37689bf24f2e4f5d951ff8258a3c58c7
Publikováno v:
Engineering Computations, 2023, Vol. 40, Issue 9/10, pp. 2754-2775.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-06-2023-0247
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Accurately predicting landslide displacement is essential for reducing and managing associated risks. To address the challenges of both under-decomposition and over-decomposition in landslide displacement analysis, as well as the low predictive accur
Externí odkaz:
https://doaj.org/article/8371dccb309d4c80b8d30321e03ce9bd
Influencing factors and propagation mechanisms of sub-synchronous oscillations in complex AC–DC grid
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 872-881 (2023)
The modern power system exhibits typical “double-high” characteristics as a result of the extensive use of new energy sources like wind and photovoltaics that are connected to the electrical grid, and as a result of this development, sub-synchron
Externí odkaz:
https://doaj.org/article/7ca3b6271cd84f85ba46281efae5d4af
Publikováno v:
Frontiers in Energy Research, Vol 11 (2024)
In recent years, the installed capacity of renewable energy systems has seen rapid growth, particularly in photovoltaic (PV) power. Photovoltaic modules, being the fundamental elements of the PV system, play a crucial role in determining system perfo
Externí odkaz:
https://doaj.org/article/cab7eb4b6063461890cd49ac22ce78a1
Modeling and Optimization of an Enhanced Soft Sensor for the Fermentation Process of Pichia pastoris
Publikováno v:
Sensors, Vol 24, Iss 10, p 3017 (2024)
This paper proposes a novel soft sensor modeling approach, MIC-TCA-INGO-LSSVM, to address the decline in performance of soft sensor models during the fermentation process of Pichia pastoris, caused by changes in working conditions. Initially, the tra
Externí odkaz:
https://doaj.org/article/23b9c1f37ffe481db3a714215a0119ab
Autor:
Tisinee Surapunt, Shuliang Wang
Publikováno v:
Information, Vol 15, Iss 4, p 228 (2024)
Uncertainty presents unfamiliar circumstances or incomplete information that may be difficult to handle with a single model of a traditional machine learning algorithm. They are possibly limited by inadequate data, an ambiguous model, and learning pe
Externí odkaz:
https://doaj.org/article/70c7674eec7143e1b77c59bd5fb3ee30