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A review of research on spatial-temporal forecasting of power load based on spatial-temporal data mining

International Journal of Electrical Power & Energy Systems
Lately, 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, Pengfei Zhang, Jianning Cai, Hengyu Liu, Gaohan Wang, Zhe Chen   +5 more
doaj   +1 more source

Electrical Load Forecasting Models for Different Generation Modalities: A Review

IEEE Access, 2021
The intelligent management of power in electrical utilities depends on the high significance of load forecasting models. Since the industries are digitalized, power generation is supported by a variety of resources. Therefore, the forecasting accuracy of
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, V. R. Harindran   +3 more
doaj   +1 more source

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

Energies, 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, Jing Zhang, Yu He, Xiaofan Fu, Luqin Fan, Gang Yao, Yongjun Wen   +6 more
doaj   +1 more source

Optimization for Electric Power Load Forecast

International Journal of Electrical and Computer Engineering (IJECE), 2018
Load flow studies are one of the most important aspects of power system planning and operation. The main information obtained from this study comprises the magnitudes and phase angles of load bus voltages, reactive powers at generators buses, real and reactive power flow on transmission lines, other variables being known.
I. A. Ethmane, M. Maaroufi, A. K. Mahmoud, A. Yahfdhou   +3 more
openaire   +3 more sources

Fuzzy Load Forecast with Optimized Parametric Adjustment Using Jaya Optimization Algorithm

International Journal of Computational Intelligence Systems, 2020
This paper proposes an advanced fuzzy load forecast method optimized by modified Jaya optimization (MJO) algorithm. MATLAB® platform is used to implement the proposed hybrid Fuzzy-MJO load forecasting algorithm and to verify the outperforming features of
Ho Pham Huy Anh, Ho Pham Huy Anh
doaj   +1 more source

Load Forecasting Based Distribution System Network Reconfiguration-A Distributed Data-Driven Approach

, 2017
In this paper, a short-term load forecasting approach based network reconfiguration is proposed in a parallel manner. Specifically, a support vector regression (SVR) based short-term load forecasting approach is designed to provide an accurate load ...
Gu, Yi, Jiang, Huaiguang, Muljadi, Eduard, Solis, Francisco J., Zhang, Jun Jason, Zhang, Yingchen   +5 more
core   +1 more source

Urban Saturated Power Load Analysis Based on a Novel Combined Forecasting Model

Information, 2015
Analysis of urban saturated power loads is helpful to coordinate urban power grid construction and economic social development. There are two different kinds of forecasting models: the logistic curve model focuses on the growth law of the data itself ...
Huiru Zhao, Sen Guo, Wanlei Xue
doaj   +1 more source

Power load forecasting [PDF]

, 2006
For the electric power factory, the power load forecasting problem, including load forecasting and consumption predicting, is crucial to work planning. According to the predicting time, it can be divided into long-term forecasting, mid-term forecasting ...
Hao, Z., Lu, L., Shao, D.
core  

Short term energy forecasting techniques for virtual power plants [PDF]

, 2016
YesThe advent of smart meter technology has enabled periodic monitoring of consumer energy consumption. Hence, short term energy forecasting is gaining more importance than conventional load forecasting.
Pillai, Prashant, Rajamani, Haile S., Ravichandran, S., Swarup, K.S., Vijayalakshmi, A.   +4 more
core   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa, Shou Xu, Mark Zobeck, Sarah E. Sartain, Nino Rainusso, Lisa Wang, Nicole Montgomery, Paige Wheaton, Sarah Whittle   +8 more
wiley   +1 more source