Zobrazeno 1 - 10
of 47
pro vyhledávání: '"auto-regressive integrated moving average model"'
Autor:
A. Abdul Wahid, E. Arunbabu
Publikováno v:
Water Practice and Technology, Vol 17, Iss 5, Pp 1230-1252 (2022)
The Krishnagiri reservoir is the main source of irrigation in Tamil Nadu, India. It has been reported to be hypereutrophic for over a decade with sediment and nutrient load sources responsible for the degradation of water quality. Remotely sensed sat
Externí odkaz:
https://doaj.org/article/3b8462aa05a7432e892970eaafaac6b0
Publikováno v:
Tongxin xuebao, Vol 42, Pp 163-171 (2021)
In view of the nonlinear, stochastic and sudden characteristics of operating environment of cloud server system, a software aging prediction method based on hybrid auto-regressive integrated moving average and recurrent neural network model (ARIMA-RN
Externí odkaz:
https://doaj.org/article/a3749ffc6e43425488434aa74f7fb77e
Autor:
Sheroze Liaquat, Muhammad Salman Fakhar, Syed Abdul Rahman Kashif, Akhtar Rasool, Omer Saleem, Muhammad Fahad Zia, Sanjeevikumar Padmanaban
Publikováno v:
IEEE Access, Vol 9, Pp 1918-1939 (2021)
The absence of the global best component in the update equation of the conventional firefly algorithm degrades its exploration properties. This research proposes multi-update position criteria to enhance the exploration properties of the conventional
Externí odkaz:
https://doaj.org/article/9a9b76cf890d4cc89914c83cf0f37ce5
Autor:
Sheroze Liaquat, Muhammad Salman Fakhar, Syed Abdul Rahman Kashif, Akhtar Rasool, Omer Saleem, Sanjeevikumar Padmanaban
Publikováno v:
IEEE Access, Vol 8, Pp 177549-177569 (2020)
This paper presents a modified and novel form of the conventional short-term hydrothermal scheduling problem by incorporating the effects of adding the photovoltaic energy source to the conventional grid. A photovoltaic energy source is intermittent
Externí odkaz:
https://doaj.org/article/d37c7f255786438c8f8506211735c7e6
Akademický článek
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Akademický článek
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Autor:
Amgad Muneer, Rao Faizan Ali, Ahmed Almaghthawi, Shakirah Mohd Taib, Amal Alghamdi, Ebrahim Abdulwasea Abdullah Ghaleb
Load forecasting plays an essential role in power system planning. The efficiency and reliability of the whole power system can be increased with proper planning and organization. Residential load forecasting is indispensable due to its increasing ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4b094588bbb5631b227c92a6381937d
https://zenodo.org/record/7069567
https://zenodo.org/record/7069567
Mutual funds are one of the safest options to invest money in the stock market or to buy assets. Past and present analysis of the mutual fund investing scenario is very crucial to gain an insight about the future performance. This paper aims to forec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac5982818df7ef5fcf6bdac5ce8d692
Publikováno v:
大数据, Vol 5, Pp 2019053-1 (2019)
In order to achieve more robust and accurate outpatient volume prediction,a hybrid prediction model based on SARIMALSTM was constructed.SARIMA model was used to build a single index model of outpatient volume to extract the cycle,trend and other info
Externí odkaz:
https://doaj.org/article/816c302864734abeb434f247dfd167a3
Akademický článek
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