A5079504151- Energy Load and Power Forecasting
- ECG Monitoring and Analysis
- Renal function and acid-base balance
- Non-Invasive Vital Sign Monitoring
- Gastrointestinal motility and disorders
- Smart Grid and Power Systems
- Neural Networks and Applications
- Diet and metabolism studies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Computational Physics and Python Applications
- Time Series Analysis and Forecasting
Xi’an University of Posts and Telecommunications
2023
Chinese People's Liberation Army
2018
We propose a long short-term memory (LSTM) network based encoder-decoder (E-D) model for wind power prediction (WPP). The LSTM-based E-D is constructed as an auto-encoder mapping the (WP) time-series into fixed-length representation, state of trained LSTM. Then, representation concatenated with weather forecasting information used new input to another multiple LSTM make WPP. Real data collected from farm capacity 50 MW Shan Xi province were verify conclusions. Results illustrate that...
A gated recurrent units (GRU) network based encoder-decoder (E-D) model is proposed for combined heat and power (CHP) load forecasting. First, we use the GRU E-D as an auto-encoder to map historical CHP time series into a fixed length representation. Then, concatenate representation with weather forecasting information new input another multiple GRUs prediction. Data collected from Rizhao, Shandong province used verify conclusions. Results illustrate that GRU-based can give more accurate...
OBJECTIVES To investigate whether single nucleotide polymorphisms (SNPs) in the mitochondrial displacement loop (D‐loop) were associated with irritable bowel syndrome (IBS). METHODS Altogether 40 participants recruited and classified into three groups, including 20 that fulfilled Rome III criteria for diarrhea‐predominant IBS (IBS‐D), 10 constipation‐predominant (IBS‐C), healthy volunteers (controls). DNA was extracted from biopsy specimens of colon obtained during routine colonoscopies. The...