Results 41 to 50 of about 180,214 (295)

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

Input variable selection for forecasting models [PDF]

, 2002
2002 IFAC15th Triennial World Congress, Barcelona, SpainThe selection of input variables plays a crucial role when modelling time series. For nonlinear models there are not well developed techniques such as AIC and other criteria that work with linear ...
Camacho, Eduardo F., Cepeda Caballos, Alfonso, Ruiz Arahal, Manuel   +2 more
core   +1 more source

Load Forecasting Model Using LSTM for Indian State Load Dispatch Centre

Electrica
This 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, Matushree Kochar, Anamika Yadav, Mohammad Pazoki   +3 more
doaj   +1 more source

Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms

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, Ali N. Hasan, Riaan Stopforth   +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, Long Peng, Jingming Zhao, Jiajie Li, Zhengmin Kong   +4 more
doaj   +1 more source

Load pocket forecasting software [PDF]

IEEE PES Power Systems Conference and Exposition, 2004., 2005
In this paper we describe the load pocket forecasting software that can be used by electric utilities to estimate and forecast the load growth in different service areas. The software builds statistical load models for various service areas (load pockets), estimates weather-normalized loads, estimates the ratios between the actual peak loads and the ...
E.A. Feinberg, D. Genethliou, J.T. Hajagos, B.G. Irrgang, R.J. Rossin   +4 more
openaire   +1 more source

A Multi-Level Collaborative Load Forecasting Method for Distribution Networks Based on Distributed Optimization

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

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  

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

Rescheduling costs and adaptive asymmetric errors guided closed-loop prediction of power loads in mine integrated energy systems

Energy and AI
The development of an integrated energy system for mining that efficiently recycles multiple resources is a crucial strategy for achieving dual carbon reduction targets in the mining sector.
Qi Miao, Xiaoyan Sun, Chen Ma, Yong Zhang, Dunwei Gong   +4 more
doaj   +1 more source