Results 11 to 20 of about 663,658 (295)

Deep Neural Network and Long Short-Term Memory for Electric Power Load Forecasting

open access: yesApplied Sciences, 2020
Forecasting domestic and foreign power demand is crucial for planning the operation and expansion of facilities. Power demand patterns are very complex owing to energy market deregulation.
Namrye Son, Seunghak Yang, Jeongseung Na
doaj   +1 more source

Comparison of short-term and long-term performances for polymer-stabilized sand and clay

open access: yesJournal of Traffic and Transportation Engineering (English ed. Online), 2017
A series of tests were carried out on sulfate rich, high-plasticity clay and poorly-graded natural sand to study the effectiveness of a methylene diphenyl diisocyanate based liquid polymer soil stabilizer in improving the unconfined compressive strength (
Sepehr Rezaeimalek   +4 more
doaj   +1 more source

An Empirical Study on the Equity Performance of China's Health Insurance Companies During the COVID-19 Pandemic—Based on Cases of Dominant Listed Companies

open access: yesFrontiers in Public Health, 2021
The health insurance industry in China is undergoing great shocks and profound impacts induced by the worldwide COVID-19 pandemic. Taking for instance the three dominant listed companies, namely, China Life Insurance, Ping An Insurance, and Pacific ...
Rendao Ye   +4 more
doaj   +1 more source

PROPOSED STRATEGY TO OBTAIN OPTIMUM INTER-STATION DISTANCE FOR GPS CORS DEVELOPMENT SCENARIO [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
The critical part in the development of GPS CORS network is known as the inter-station distance between the CORS or baseline length. Due to the diversity of baseline length can be implemented for the CORS network, this paper presents an alternative ...
N. A. A. Rahman   +4 more
doaj   +1 more source

The Impact of Financial Constraints on the Convertible Bond Announcement Returns

open access: yesEconomies, 2019
As of now, very few research studies have examined the effects of financial constraints on the short- and long-term performances of companies after their announcement of convertible bonds. Due to asymmetric information, previous studies consider issuance
Chong-Chuo Chang   +3 more
doaj   +1 more source

Short-term wind power forecasting by bidirectional attention mechanism LSTM and its probability interval prediction by sliding-window KDE

open access: yesAIP Advances, 2023
Deterministic point wind power forecasting (DP-WPF) and its probability interval prediction (PIP) are indispensable to short-term peak alleviation and frequency regulation in power systems with large-scale wind power injection.
Xin Liu, Peijuan Li, Baochun Xu
doaj   +1 more source

Underwater acoustic slant range measurements related to weather and sea state [PDF]

open access: yes, 2018
Underwater range measurements are key factor in underwater acoustic positioning, used in Long Base-Line (LBL) or Ultra Short Base-Line (USBL) computing techniques. These measurements are commonly carried out through acoustic communications between modems
Aguzzi, Jacopo   +5 more
core   +1 more source

An Automated Fall Detection System Using Recurrent Neural Networks [PDF]

open access: yes, 2019
Falls are the most common cause of fatal injuries in elderly people, causing even death if there is no immediate assistance. Fall detection systems can be used to alert and request help when this type of accident happens.
Amaya Rodríguez, Isabel   +6 more
core   +1 more source

Short And Long Term Effects Of Tourism Gdp Performance In Malaysia

open access: yesEuropean Journal of Molecular & Clinical Medicine, 2021
This study applies observational investigation and concentrates on two primary variables which foreign direct investment and tourism. Information from 1991 to 2019 was gathered from World Bank to focus the relationship among the variables. The tests used to decipher this result are Stationary Test, Co-integration Test, Vector Error Correction Model and
Abd. Rashid, Intan Maizura   +4 more
openaire   +2 more sources

Mid-term Load Pattern Forecasting With Recurrent Artificial Neural Network

open access: yesIEEE Access, 2019
The paper describes a mid-term daily peak load forecasting method using recurrent artificial neural network (RANN). Generally, the artificial neural network (ANN) algorithm is used to forecast short-term load pattern and many ANN structures have been ...
Seung-Mook Baek
doaj   +1 more source

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