Results 31 to 40 of about 18,213 (266)
Shanghai Jiaotong Daxue xuebao, 2021 At present, new elements such as distributed new energy and electric vehicles have emerged in the distribution network, which changes the composition of loads, enriches the connotation of loads, and poses severe challenges to load forecasting.
TAN Jia, LI Zhiyi, YANG Huan, ZHAO Rongxiang, JU Ping
doaj +1 more source
Research on Intelligent Power Load Forecasting Algorithm Based on Empirical Mode Decomposition
Chemical Engineering Transactions, 2017 The load forecasting of power system is related to the dispatching operation and production planning of power system. Accurate load forecasting can improve the safety and stability of the system and reduce the cost of power generation. The load variation
Qinghua Chen
doaj +1 more source
Forecasting of Electric Load Using a Hybrid LSTM-Neural Prophet Model
Energies, 2022 Load forecasting (LF) is an essential factor in power system management. LF helps the utility maximize the utilization of power-generating plants and schedule them both reliably and economically.
Md Jamal Ahmed Shohan +2 more
doaj +1 more source
IEEE Access, 2017 Improving the accuracy of power system load forecasting is important for economic dispatch. However, a load sequence is highly nonstationary and hence makes accurate forecasting difficult. In this paper, a method based on wavelet decomposition (WD) and a
Bowen Li, Jing Zhang, Yu He, Yang Wang
doaj +1 more source
Load Forecasting Model Using LSTM for Indian State Load Dispatch Centre
ElectricaThis paper presents an approach to address the critical challenge of load forecasting in the Indian state of Odisha. Motivated by the necessity for accurate predictions to support efficient planning and operation of the power system network, the work ...
Rashmi Bareth +3 more
doaj +1 more source
International Journal of Electrical Power & Energy SystemsLately, in the context of global energy crisis and economic recovery after the COVID-19 epidemic, the contradiction between power supply and demand has become more prominent, showing a tight balance.
Zhanshuo Hu +5 more
doaj +1 more source
IEEE Access, 2019 Load forecasting is useful for various applications, including maintenance planning. The study of load forecasting using recent state-of-the-art hybrid artificial intelligence (AI) and deep learning (DL) techniques is limited in South Africa (SA) and ...
Sibonelo Motepe +2 more
doaj +1 more source
A Quantile Regression Random Forest-Based Short-Term Load Probabilistic Forecasting Method
Energies, 2022 In this paper, a novel short-term load forecasting method amalgamated with quantile regression random forest is proposed. Comprised with point forecasting, it is capable of quantifying the uncertainty of power load.
Sanlei Dang +4 more
doaj +1 more source
Ekonomìčnij Vìsnik Nacìonalʹnogo Tehnìčnogo Unìversitetu Ukraïni "Kiïvsʹkij Polìtehnìčnij Institut", 2021 In this article, analytical and prognostic model of the information system load was performed, which in metric terms is based on the number of requests to the system per second. The studied statistical data of this indicator outline the main trajectory of its time series, which allows to find patterns of the past and predict the ...
Zhukovska, O. A., Shperlov, R. V.
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source