Load forecasting - Open Access .click

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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 +4 more
doaj +1 more source

A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

Energies, 2018
One of the most important research topics in smart grid technology is load forecasting, because accuracy of load forecasting highly influences reliability of the smart grid systems.
Ping-Huan Kuo, Chiou-Jye Huang
doaj +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source

A Hybrid Double Forecasting System of Short Term Power Load Based on Swarm Intelligence and Nonlinear Integration Mechanism

Applied Sciences, 2020
Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends.
Ping Jiang, Ying Nie
doaj +1 more source

LSTM-RNN-FNN Model for Load Forecasting Based on Deleuze’s Assemblage Perspective

Frontiers in Energy Research, 2022
Reliable load forecasting is essential for electricity generation and even for people’s lives. However, the existing load forecasting theories cannot match the requirements of complex systems (e.g., smart grids).
Jie Xin, Zhenyu Wei, Yujie Dong, Wan Ni
doaj +1 more source

FORECASTING HIGH-LOAD SYSTEMS

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

The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo +5 more
wiley +1 more source

Residential Power Load Forecasting

Procedia Computer Science, 2014
AbstractThe prepaid electric power metering market is being driven in large part by advancements in and the adoption of Smart Grid technology. Advanced smart meters facilitate the deployment of prepaid systems with smart prepaid meters. A successful program hinges on the ability to accurately predict the amount of energy consumed on a daily basis for ...
Patrick Day +6 more
openaire +1 more source

Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge +6 more
wiley +1 more source

Exogenous Data for Load Forecasting: A Review [PDF]

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Electrical power load forecasting defines strategies for utilities, power producers and individuals that participate in a smart grid. While it is well established in planning processes for production and utilities, the importance of accurate forecasting increases for individuals. The ongoing deregulation of the electricity market enables energy trading
Ramón Christen +3 more
openaire +2 more sources

short-term load forecasting
power load forecasting
artificial intelligence

convolutional neural network