Results 1 to 10 of about 10,606,980 (298)

Short-term load forecasting based on sample weights assignment

open access: yesEnergy Reports, 2022
Short-term load forecasting (STLF) is the basis of the power system operation. Considering that the importance of different training samples is different, a sample weights assignment method is proposed in this paper to help the STLF to learn the key ...
Mingxu Xiang, Sijun Du, Juan Yu, Yi Xu
doaj   +1 more source

Comparatyve analysis of using terms in mathematic textbook separate school

open access: yesLietuvos Matematikos Rinkinys, 2005
The article deals with the scope of lexical units textbooks on mathematics for ten-year schools, frequencies of title words are compared. Mathematical terms occurring in the texts are selected, their frequencies regarding separate school grades have ...
Dalia Kaklauskienė
doaj   +3 more sources

Comparative analysis of term usage in the text books for schools ``In the World of Elementary Mathematics''

open access: yesLietuvos Matematikos Rinkinys, 2004
The article deals with the scope of lexical units textbooks and exercise books on mathematics for elementary schools, frequencies of title words are compared.
Danutė Kaklauskienė
doaj   +3 more sources

Methodological features of monitoring the long-term dynamics of low levels of tritium in the environment

open access: yesРадиационная гигиена, 2023
The article considers the methodological features of long-term observations of the dynamics of changes in low levels of tritium in water bodies of the environment located in places of potential contamination by tritium.
V. S. Repin   +4 more
doaj   +1 more source

Ensemble learning‐based modeling and short‐term forecasting algorithm for time series with small sample

open access: yesEngineering Reports, 2022
Due to missing data or a short sensing period, only a minimal amount of data can be captured in some IoT cases. Making accurate time series predictions with tiny samples is a huge task.
Yang Zhang   +4 more
doaj   +1 more source

Short-Term Load Forecasting Based on the CEEMDAN-Sample Entropy-BPNN-Transformer

open access: yesEnergies, 2022
Aiming at the problem that power load data are stochastic and that it is difficult to obtain accurate forecasting results by a single algorithm, in this paper, a combined forecasting method for short-term power load was proposed based on the Complete ...
Shichao Huang   +6 more
doaj   +1 more source

Integrity of the Human Faecal Microbiota following Long-Term Sample Storage. [PDF]

open access: yesPLoS ONE, 2016
In studies of the human microbiome, faecal samples are frequently used as a non-invasive proxy for the study of the intestinal microbiota. To obtain reliable insights, the need for bacterial DNA of high quality and integrity following appropriate faecal ...
Elahe Kia   +10 more
doaj   +1 more source

Ultra-Short-Term Prediction of Wind Power Based on Sample Similarity Analysis

open access: yesIEEE Access, 2021
Increasing the utilization rate of wind energy is of great significance to the improvement of energy structure, which is inseparable from the support of wind power forecasting (WPF) technology. However, it is well known that there is no certain WPF model
Changxin Miao, Hao Li, Xia Wang, Heng Li
doaj   +1 more source

Data-Driven Short-Term Voltage Stability Assessment Considering Sample Imbalance and Overlapping

open access: yesFrontiers in Energy Research, 2022
In recent years, data-driven methods have shown great potential for the practical application of short-term voltage stability (STVS) assessment. However, most existing research works overlook the problem of sample imbalance and overlap in STVS assessment.
Ruijin Zhu, Dafei Wang, Zhilin Su
doaj   +1 more source

Short-term Load Forecasting Based on CNN-LSTM with Quadratic Decomposition Combined

open access: yesKongzhi Yu Xinxi Jishu, 2023
Short-term power load has strong randomness and volatility, in order to improve the accuracy of load forecasting, this paper proposes a combined forecasting model based on quadratic decomposition, convolutional neural (CNN) network and long short-term ...
DENG Bowen, XIAO Shenping, LIAO Shiying
doaj   +3 more sources

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