Results 121 to 130 of about 136,820 (296)

Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges

, 2018
The widespread popularity of smart meters enables an immense amount of fine-grained electricity consumption data to be collected. Meanwhile, the deregulation of the power industry, particularly on the delivery side, has continuously been moving forward ...
Chen, Qixin, Hong, Tao, Kang, Chongqing, Wang, Yi   +3 more
core   +1 more source

ALS With and Without Upper Motor Neuron Signs: A Comparative Study Supporting the Gold Coast Criteria

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung, E‐nae Cheong, Jungmin So, Heung‐Won Kang, Yangsean Choi, Eun‐Jae Lee, Hyunjin Kim, Young‐Min Lim   +7 more
wiley   +1 more source

Research on Impulse Power Load Forecasting Based on Improved Recurrent Neural Networks. [PDF]

Comput Intell Neurosci, 2022
Feng C, Xu K, Ma H.
europepmc   +1 more source

Short-term electricity price forecasting with time series models: A review and evaluation [PDF]

We investigate the forecasting power of different time series models for electricity spot prices. The models include different specifications of linear autoregressive time series with heteroscedastic noise and/or additional fundamental variables and non ...
Adam Misiorek, Rafal Weron
core  

Reliability of Dynamic Load Scheduling with Solar Forecast Scenarios

, 2015
This paper presents and evaluates the performance of an optimal scheduling algorithm that selects the on/off combinations and timing of a finite set of dynamic electric loads on the basis of short term predictions of the power delivery from a ...
de Callafon, Raymond A., Disfani, Vahid R, Habib, Abdulelah H, Kleissl, Jan, Pecena, Zachary K   +4 more
core   +1 more source

Neural Network-Based Ship Power Load Forecasting

Journal of Marine Science and Engineering
This study combines an experimental semi-physical simulation model of an electric propulsion tugboat with four different neural networks to create a real-time simulation model for forecasting total power loads with small samples. The results of repeated experiments demonstrate that the BP neural network effectively forecasts the power load ...
Haozheng Liu, Chengjun Qiu, Wei Qu, Wei He, Yuan Zhuang, Puze Li, Huili Hao, Wenhao Wang, Zizi Zhao, Jiahua Su   +9 more
openaire   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm. [PDF]

PeerJ Comput Sci, 2022
Pang X, Sun W, Li H, Wang Y, Luan C.
europepmc   +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

Load forecasting method considering temperature effect for distribution network

MATEC Web of Conferences, 2016
To improve the accuracy of load forecasting, the temperature factor was introduced into the load forecasting in this paper. This paper analyzed the characteristics of power load variation, and researched the rule of the load with the temperature change ...
Meng Xiao Fang, Zhang Shu Xuan, Wang Jun, Wu Shi Hong   +3 more
doaj   +1 more source