نتایج جستجو برای: power prediction

تعداد نتایج: 727067  

Journal: :Bulletin of the Seismological Society of America 2017

Journal: :International Journal of Energy Economics and Policy 2023

The potential for solar power is available in Indonesia because it located on the equator, with good sunshine all year round. Indonesian government currently actively developing a plant while still looking at consequences of development, especially surrounding environment. It necessary to pay attention so that does not disturb environment, which can also cause climate change. city Medan one lar...

Journal: :International journal of atmospheric and oceanic sciences 2021

It has long been known that hurricanes, the strongest and most destructive atmospheric events, do not occur below a sea surface temperature near 26 C. The detailed dependence of hurricane power on ocean is increasing interest concern in prospect continuing global warming. was usefully quantified by Emanuel 2005 with definition tabulations dissipation index, PDI. This integral over relevant area...

Journal: :Mathematics 2023

Overfitting often occurs in neural network training, and networks with higher generalization ability are less prone to this phenomenon. Aiming at the problem that of photovoltaic (PV) power prediction model is insufficient, a PV time-sharing (TSP) combining variational mode decomposition (VMD) Bayesian regularization (BRNN) proposed. Firstly, meteorological sequences related output selected by ...

Journal: :Journal of physics 2023

Abstract A ship power system refers to an isolated grid consisting of generation, electrical energy conversion, transmission, distribution, and consumption. As the heart ship’s route, station should try avoid malfunction, malfunction be quickly investigated recovered. In this paper, a stand-alone is built for simulation using Simulink software platform, fault voltage current parameters each pha...

Journal: :تحقیقات اقتصادی 0
حمید ابریشمی دانشگاه تهران محسن مهرآرا دانشگاه تهران مهدی احراری سوده میرقاسمی

this study employs a gmdh neural network model, which has high capability in recognition of complicated non-linear trends especially with small samples, for modeling and predicting iranian gdp growth. first a fundamental model containing 7 independent variables together with dependent variable is designed and then by using deductive process and omission of one variable at a time, a total of 18 ...

2013
Zahra Abbasi Madhurima Pore Sandeep K. S. Gupta

There has been increasing demand for energy sustainable and lowcost operation in cloud computing. This paper proposes dynamic Geographical Load Balancing and energy buffering management (GLB) to achieve these goals which (i) shifts workload (particularly peak workload demand) toward Data centers that offer low utility rate or green energy at a time, and (ii) banks excess green and low-cost ener...

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