Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Jujie Wang"'
Autor:
Xuecheng He, Jujie Wang
Publikováno v:
Mathematics, Vol 12, Iss 23, p 3778 (2024)
Accurate forecasts of stock indexes can not only provide reference information for investors to formulate relevant strategies but also provide effective channels for the government to regulate the market. However, due to its volatility and complexity
Externí odkaz:
https://doaj.org/article/c11685e85fda44d78e1f29f5d6421bb6
Publikováno v:
Atmosphere, Vol 14, Iss 2, p 395 (2023)
Wind power has great potential in the fields of electricity generation, heating, et cetera, and the precise forecasting of wind speed has become the key task in an effort to improve the efficiency of wind energy development. Nowadays, many existing s
Externí odkaz:
https://doaj.org/article/629f9ae172744e06a61a03eef38608dd
Publikováno v:
Mathematics, Vol 10, Iss 4, p 566 (2022)
With the rapid development of financial research theory and artificial intelligence technology, quantitative investment has gradually entered people’s attention. Compared with traditional investment, the advantage of quantitative investment lies in
Externí odkaz:
https://doaj.org/article/82d7da62acdf458a905edf2c3301be21
Autor:
Jujie Wang, Shiyao Qiu
Publikováno v:
Mathematics, Vol 9, Iss 20, p 2595 (2021)
The forecast of carbon trading price is crucial to both sellers and purchasers; multi-scale integration models have been used widely in this process. However, these multi-scale models ignore the feature reconstruction process as well as the residual
Externí odkaz:
https://doaj.org/article/b263d33c07404a6b8f45a97a806e13f6
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2640 (2021)
Stock index prediction plays an important role in the creation of better investment strategies. However, prediction can be difficult due to the random fluctuation of financial time series. In pursuit of improved stock index prediction, a hybrid predi
Externí odkaz:
https://doaj.org/article/d4ab37f0a36443e1ad32f3f368fbaedc
Publikováno v:
Energies, Vol 11, Iss 2, p 321 (2018)
With the growing penetration of wind power into electric grids, improving wind speed prediction accuracy has become particularly valuable for the exploitation of wind power. In this paper, a novel hybrid strategy based on a three-phase signal decompo
Externí odkaz:
https://doaj.org/article/de1ea0e3a8e34adea17a10addc26a193
Autor:
Jujie Wang
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
It is important to improve the accuracy of wind speed forecasting for wind parks management and wind power utilization. In this paper, a novel hybrid approach known as WTT-TNN is proposed for wind speed forecasting. In the first step of the approach,
Externí odkaz:
https://doaj.org/article/876d42a0af324220bb095febe6cf1fed
Publikováno v:
Information Sciences. 628:269-290
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88db33880cacffe003c8560729b97c3e
https://doi.org/10.1016/j.ins.2023.01.095
https://doi.org/10.1016/j.ins.2023.01.095
Autor:
Jujie Wang, Shuzhou Zhu
Publikováno v:
Cognitive Computation. 15:1023-1041
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bd701a5d45a3bb933393d67e920fa68
https://doi.org/10.1007/s12559-023-10137-4
https://doi.org/10.1007/s12559-023-10137-4
Autor:
Jujie Wang, Shuzhou Zhu
Publikováno v:
Artificial Intelligence Review. 56:7237-7262
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5a9e9d32374f5d35d497c0cdc3a4c99
https://doi.org/10.1007/s10462-022-10352-9
https://doi.org/10.1007/s10462-022-10352-9