Results 11 to 20 of about 10,057,169 (215)
Eigensystem multiscale analysis for Anderson localization in energy intervals [PDF]
We present an eigensystem multiscale analysis for proving localization (pure point spectrum with exponentially decaying eigenfunctions, dynamical localization) for the Anderson model in an energy interval.
A. Elgart, A. Klein
semanticscholar +1 more source
Optimal planning strategy for energy internet zones based on interval optimization
Energy internet zones integrate various distribution generators and energy kinds together as whole to satisfy consumers’ different energy requirements. It can achieve higher energy efficiency, but suffers various uncertainties, like renewable power and ...
Yangyang Liu +4 more
doaj +1 more source
Accurate solar and wind generation forecasting along with high renewable energy penetration in power grids throughout the world are crucial to the days-ahead power scheduling of energy systems.
Yongbao Chen, Junjie Xu
semanticscholar +1 more source
Interval–stochastic optimisation for transactive energy management in energy hubs
With the growing penetration of distributed energy resources and energy hubs, the transactive energy market appears as a modern power market that facilitates coordinated operation and end‐to‐end energy trading. An energy hub can actively participate in the day‐ahead and real‐time markets for fulfilling various goals.
Manijeh Alipour +2 more
openaire +1 more source
Turbulence Characteristics of Switchback and Nonswitchback Intervals Observed by Parker Solar Probe [PDF]
We use Parker Solar Probe (PSP) in situ measurements to analyze the characteristics of solar wind turbulence during the first solar encounter covering radial distances between 35.7R ⊙ and 41.7R ⊙.
S. Bourouaine +7 more
semanticscholar +1 more source
The mechanism of primary cosmic particle transformation into secondary radiation near the ground surface is analysed. It is known that the main part of secondary cosmic radiation consists of muons.
Dmitrijus Styra +2 more
doaj +1 more source
An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks
Green energy management is an economical solution for better energy usage, but the employed literature lacks focusing on the potentials of edge intelligence in controllable Internet of Things (IoT).
Tao Han +4 more
semanticscholar +1 more source
Spectral analysis of blood flow or blood volume oscillations can help to understand the regulatory mechanisms of microcirculation. This study aimed to explore the relationship between muscle hemodynamic response in the recovery period and exercise ...
Qitao Tan +8 more
doaj +1 more source
Confidence intervals for the difference between the coefficients of variation of Weibull distributions for analyzing wind speed dispersion [PDF]
Wind energy is an important renewable energy source for generating electricity that has the potential to replace fossil fuels. Herein, we propose confidence intervals for the difference between the coefficients of variation of Weibull distributions ...
Manussaya La-ongkaew +2 more
doaj +2 more sources
Deep Learning in Energy Modeling: Application in Smart Buildings With Distributed Energy Generation
Buildings are responsible for 33% of final energy consumption, and 40% of direct and indirect CO2 emissions globally. While energy consumption is steadily rising globally, managing building energy utilization by on-site renewable energy generation can ...
S. A. Nabavi +4 more
semanticscholar +1 more source

