Results 51 to 60 of about 1,569,215 (261)

Optimization of Low-Carbon Technology Adoption Decision for Generation Enterprises Considering Cost Uncertainty

Zhongguo dianli
To investigate the investment decision optimization issue under the condition of uncertain cost of multiple types of low-carbon technologies faced by power generation enterprises to actively achieve the goal of "dual carbon", this paper takes the medium-
Qinliang TAN, Jiaming HE, Hanyu LV, Yihong DING   +3 more
doaj   +1 more source

Research on Energy Management Strategy of a Hybrid Commercial Vehicle Based on Deep Reinforcement Learning

World Electric Vehicle Journal, 2023
Given the influence of the randomness of driving conditions on the energy management strategy of vehicles, deep reinforcement learning considering driving conditions prediction was proposed.
Jianguo Xi, Jingwei Ma, Tianyou Wang, Jianping Gao   +3 more
doaj   +1 more source

A Distributed Demand-Side Management Framework for the Smart Grid [PDF]

, 2014
This paper proposes a fully distributed Demand-Side Management system for Smart Grid infrastructures, especially tailored to reduce the peak demand of residential users.
Barbato, Antimo, Capone, Antonio, Chen, Lin, Martignon, Fabio, Paris, Stefano   +4 more
core   +6 more sources

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source

Energy savings using an adaptive base station-to-relay station switching paradigm [PDF]

, 2012
Applying a Base Station (BS) sleep approach during low traffic periods has recently been advocated as a strategy for reducing energy consumption in cellular networks. The complete switching off of certain BS however, can lead to coverage holes and severe
Alam, Atm Shafiul, Dooley, Laurence S., Ji, Yusheng, Poulton, Adrian S.   +3 more
core   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi, Lara Basovic, Christopher Michael McGraw   +2 more
wiley   +1 more source

Study on resilient energy management strategy for ship-integrated energy system

Zhongguo Jianchuan Yanjiu
ObjectiveTo resist the threats of cyber attacks on energy systems during sailing voyages, this paper proposes a distributed resilient energy management strategy for ship-integrated energy systems.
Yuxin ZHANG, Fei TENG, Tieshan LI, Yang XIAO   +3 more
doaj   +1 more source

Least costly energy management for series hybrid electric vehicles

, 2015
Energy management of plug-in Hybrid Electric Vehicles (HEVs) has different challenges from non-plug-in HEVs, due to bigger batteries and grid recharging.
Formentin, Simone, Guanetti, Jacopo, Savaresi, Sergio M.   +2 more
core   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Multi-Energy-Microgrid Energy Management Strategy Optimisation Using Deep Learning

Energies
Renewable power generation is unpredictable due to its intermittency, making grid-connected microgrids difficult to operate, control, and manage. Currently used prediction models for electricity, heat, gas, and hydrogen multi-energy complementary ...
Wenyuan Sun, Shuailing Ma, Yufei Zhang, Yingai Jin, Firoz Alam   +4 more
doaj   +1 more source