Results 271 to 280 of about 3,183,655 (317)

Long short-term memory - Fully connected (LSTM-FC) neural network for PM2.5 concentration prediction.

Chemosphere, 2019
People have been suffering from air pollution for a decade in China, especially from PM2.5 (particulate matter with a diameter of less than 2.5 μm). Accurate prediction of air quality has great practical significance.
Jiachen Zhao, Fang Deng, Yeyun Cai, Jie Chen   +3 more
semanticscholar   +1 more source

Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks

Journal of Energy Storage, 2019
This paper presents a novel hybrid Elman-LSTM method for battery remaining useful life prediction by combining the empirical model decomposition algorithm and long short-term memory and Elman neural networks.
Xiaoyu Li, Lei Zhang, Zhenpo Wang, Pengxiang Dong   +3 more
semanticscholar   +1 more source

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

International Journal of Electrical Power & Energy Systems, 2019
Short-term load forecasting (STLF) plays an important role in the planning and operation of power systems. However, with the wide use of distributed generations (DGs) and smart devices in smart grid environment, it brings new requirements on the accuracy,
Shouxiang Wang, Xuan Wang, Shaomin Wang, Dan Wang   +3 more
semanticscholar   +1 more source

A novel wavenets long short term memory paradigm for wind power prediction

, 2020
Wind power prediction is essentially important for smooth integration of wind power into the national grid pertained to its inherent fluctuations. To facilitate the wind energy production and balance production versus market demand, a precise, efficient ...
Farah Shahid, Aneela Zameer, Ammara Mehmood, M. Raja   +3 more
semanticscholar   +1 more source

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

Applied Energy, 2019
This paper designs a hybridized deep learning framework that integrates the Convolutional Neural Network for pattern recognition with the Long Short-Term Memory Network for half-hourly global solar radiation (GSR) forecasting.
Sujan Ghimire, R. Deo, N. Raj, J. Mi
semanticscholar   +1 more source

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

Applied Energy, 2019
Short-term load forecasting plays an essential role in the safe and stable operation of power systems and has always been a vital research issue of energy management.
Feifei He, Jian-zhong Zhou, Zhong-kai Feng, Guangbiao Liu, Yuqi Yang   +4 more
semanticscholar   +1 more source

Short-term memory

1987
This is a rather bold attempt to bridge the gap between neuron structure and psychological data. We try to answer the question: Is there a relation between the neuronal connectivity in the human cortex (around 5,000) and the short-term memory capacity (7±2)? Our starting point is the Hopfield model (Hopfield 1982), presented in this volume by D.J. Amit.
openaire   +1 more source

Short-term memory for symmetry

Vision Research, 1976
Abstract Symmetric cascades of dots were generated in a continuous random sequence such that each dot had a partner reflected about a vertical or horizontal axis, respectively. Between each point and its partner a temporal delay was introduced. While the brightness of the dots appeared constant within 120–140 msec, symmetry perception ceased at ...
J H, Hogben, B, Julesz, J, Ross
openaire   +2 more sources

Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network

Applied Energy, 2019
The accurate estimation of mid-to-long term wind and photovoltaic power generation is important to the power grid's plan improvement, dispatching optimization, management development, and consumption enhancement.
Shuang Han, Yanhui Qiao, Jie Yan, Yongqian Liu, Li Li, Z. Wang   +5 more
semanticscholar   +1 more source

Short-Term Memory for Numbers

Human Factors: The Journal of the Human Factors and Ergonomics Society, 1990
Each of 52 (25 female and 27 male) high school students reproduced from memory 1000 eight-digit numbers after viewing each number for 5 s. Subjects were given unlimited time to reproduce the numbers and were allowed to change their reproductions. The range of errors was very large: from 71 to 2231 out of 8000 digits reproduced by each subject.
A, Chapanis, J V, Moulden
openaire   +2 more sources