Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory
Short-term electrical load forecasting plays a pivotal role in modern energy systems, addressing the need for accurate predictions of electricity demand within a time frame ranging from a few hours to a few days. Inaccurate predictions can lead not only
Somasundaram Vasudevan +1 more
doaj +1 more source
Older women in southwestern Ohio long-term care needs and resources
Title from t.p. of PDF document (viewed July 1, 2005).; "Ohio Long-Term Care Research Project"--Cover.; "May 1993."; Includes bibliographical references (p.
Mayberry, Pamela S. +1 more
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ECG Forecasting System Based on Long Short-Term Memory
Worldwide, cardiovascular diseases are some of the primary causes of death; yet the early detection and diagnosis of such diseases have the potential to save many lives.
Henriques Zacarias +4 more
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Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model [PDF]
Wind energy is an environment friendly, low-carbon, and cost-effective renewable energy source. It is, however, difficult to integrate wind energy into a mixed energy grid due to its high volatility and intermittency.
Deo, Ravinesh C. +5 more
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Clustered protocadherins (cPcdh) are cell adhesion molecules with 58 isoforms, essential for neural circuit formation and higher cognitive functions. This study investigated the impact of reduced cPcdh-α diversity on cognitive function using mutant mice.
Tomoki Osuka +2 more
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Here it is reported that the free recall search process increases the error rate for short term memory (about 1% per second in data from Murdock & Okada (1970)) but not for long term memory (in data from McDermott (1996)).
Tarnow, Dr. Eugen
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Identifying the functional architecture underlying multiple representations in visual working memory
This thesis aimed to investigate how visual working memory takes advantage of long-term knowledge in order to allow semantic elaboration in the form of chunking and the role of the central executive in this process.
Orme, Elizabeth
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Long Short-Term Memory-GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study. [PDF]
Poreddy KKR +3 more
europepmc +1 more source
Long term hedging of the Australian All Ordinaries Index using a bivariate error correction FIGARCH model [PDF]
This article compares the performance of bivariate error correction GARCH and FIGARCH models when estimating long term dynamic minimum variance hedge ratios (MVHRs) on the Australian All Ordinaries Index.
Jonathan Dark
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Retraction Note: Fusion of transfer learning models for detection of alzheimer's disease using bidirectional long short-term memory with equilibrium optimization algorithm. [PDF]
Renugadevi K, Jayasankar T.
europepmc +1 more source

