Zobrazeno 1 - 10
of 2 076
pro vyhledávání: '"Load prediction"'
Publikováno v:
Guangtongxin yanjiu, Pp 23001301-23001306 (2024)
【Objective】With the rapid development of the satellite Internet of Things (IoT), a large number of short-burst users are aggravating collisions and interference among users of the access network. To address this issue, several organizations and i
Externí odkaz:
https://doaj.org/article/87ce59f517f249118c60a7d92dff5d99
Publikováno v:
PeerJ Computer Science, Vol 10, p e2379 (2024)
Edge computing is a crucial technology to solve the problem of computing resources and bandwidth required for extensive edge data processing, as well as for meeting the real-time demands of applications. Container virtualization technology has become
Externí odkaz:
https://doaj.org/article/4cf3ea6ddcf0491085e3418d50301fa1
Publikováno v:
iEnergy, Vol 3, Iss 2, Pp 115-124 (2024)
Accurate prediction of electric vehicle (EV) charging loads is a foundational step in the establishment of expressway charging infrastructures. This study introduces an approach to enhance the precision of expressway EV charging load predictions. The
Externí odkaz:
https://doaj.org/article/7712ecd5e8744b66a471b45dd8d5129b
Publikováno v:
Tongxin xuebao, Vol 45, Pp 188-200 (2024)
Focused on the problem that the stream computing platform was suffering from the high energy consumption and low efficiency due to the lack of consideration for energy efficiency in designing process, an energy-efficient optimization strategy based o
Externí odkaz:
https://doaj.org/article/a023d8dcff9746c0b8689df82ba4772a
Publikováno v:
IEEE Access, Vol 12, Pp 109861-109876 (2024)
Turnout is the key equipment for realizing the turnback of subway trains. Frequent movements and environmental changes often lead to abnormal increases in resistance during turnout conversion, resulting in jamming failures that directly affect traffi
Externí odkaz:
https://doaj.org/article/2530ac1edc024b3089215a7a2486934f
Publikováno v:
IEEE Access, Vol 12, Pp 66646-66679 (2024)
Prediction in the power system network is very crucial as expansion is needed in the network. Several methods have been used to predict the load on a network, from short to long time load prediction, to ensure adequate planning for future use. Since
Externí odkaz:
https://doaj.org/article/cf9a22b9092d40cd8ff25e90bcba4494
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 2567-2584 (2024)
Recent advancements in Software Defined Networks (SDN), Open Radio Access Network (O-RAN), and 5G technology have significantly expanded the capabilities of wireless networks, extending beyond mere data transmission. This progression has led to the e
Externí odkaz:
https://doaj.org/article/03b6dd41e12648959e17fc654c0b9bb3
Publikováno v:
电力工程技术, Vol 43, Iss 1, Pp 117-126 (2024)
Aiming at the problems that multiplex influencing factors and strong uncertainty in distribution network load caused by the capacity accumulation of distributed generation and new loads, a load prediction method using memory neural network and curve
Externí odkaz:
https://doaj.org/article/60de67b16373418fbe408fdb8dd2c703
Autor:
Mohammed Aljebreen, Marwa Obayya, Hany Mahgoub, Saud S. Alotaibi, Abdullah Mohamed, Manar Ahmed Hamza
Publikováno v:
IEEE Access, Vol 12, Pp 258-267 (2024)
Currently, there is an emerging requirement for applications related to the Internet of Things (IoT). Though the capability of IoT applications is huge, there are frequent limitations namely energy optimization, heterogeneity of devices, memory, secu
Externí odkaz:
https://doaj.org/article/bd954f6bb1224c81846fa1993413849b
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3295 (2024)
The steady rise in carbon emissions has significantly exacerbated the global climate crisis, posing a severe threat to ecosystems due to the greenhouse gas effect. As one of the most pressing challenges of our time, the need for an immediate transiti
Externí odkaz:
https://doaj.org/article/a7d4d4396e51462b9121456c608ec030