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A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application. [PDF]

Sensors (Basel)
Joha MI, Rahman MM, Nazim MS, Jang YM.
europepmc   +1 more source

Optimizing electric load forecasting with support vector regression/LSTM optimized by flexible Gorilla troops algorithm and neural networks a case study. [PDF]

Sci Rep
Zhang Z, Zhang Q, Liang H, Gorbani B.
europepmc   +1 more source

Reply to Letter: “Limitations of Complement Activity Assays as Biomarkers for Ravulizumab Therapeutic Monitoring” by Saccà and Pelto Regarding “Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab”

Annals of Clinical and Translational Neurology, EarlyView.
Lea Gerischer, Jutta Schroeder‐Braunstein, Guido Wabnitz, Andreas Meisel   +3 more
wiley   +1 more source

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Electrical Load Forecasting

2021 International Conference on Intelligent Technologies (CONIT), 2021
Since the electricity demand is increasing globally, load forecasting techniques have become immensely important in forecasting the electricity demands and it also helps the policy makers. The aim of our project is to perform short-term load forecasting, i.e. up to a week ahead.
Ujjwal Singh, Aditya Negi, Vaibhav Garg, Rohan Pillai   +3 more
openaire   +1 more source

Spatial Load Forecasting Based on Load Forecasting Reliability

Applied Mechanics and Materials, 2014
A spatial load forecasting method based on reliability of load forecasting is proposed. It calculates the correlation of wave comprehensive index, variance, maximum predictable ability of each power supply small area’s historical load data by using the analysis theory of grey degree based on the analysis of load forecasting error last target year.
Bai Xiao, Hao Wang, Gang Mu
openaire   +1 more source

Spatial load forecasting

IEEE Computer Applications in Power, 1995
The reliability, efficiency, and economy of a power delivery system depend mainly on how well its substations, transmission lines, and distribution feeders are located within the utility service area, and how well their capacities match power needs in their respective localities. Often, utility planners are forced to commit to sites, rights of way, and
H.L. Willis, M.V. Engel, M.J. Buri
openaire   +1 more source

Probabilistic Load Forecasting

2021
Probabilistic load forecasting (PLF) is able to present the uncertainty information of the future loads. It is the basis of stochastic power system planning and operation. Recent works on PLF mainly focus on how to develop and combine forecasting models; while the feature selection issue has not been thoroughly investigated for PLF.
Qixin Chen, Hongye Guo, Kedi Zheng, Yi Wang   +3 more
openaire   +1 more source

Load Forecasting for Transmission Planning

IEEE Power Engineering Review, 1984
This paper investigates the load forecasting needs of transmission planning, using the planning of two utility systems as an example. Two aspects are investigated. One, the effect of forecasting error on the planning of a transmission system, and two, procedures required to produce forecasts. Several conclusions are developed.
H. Willis, H. Tram
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Forecasting data for load flow

Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521), 2004
In order to achieve a more secure and economic operation of a power system its state should be known not only in the present but some time ahead. Transmission system operators do not have the same security margins like they had in the past. Most of the tools of security assessment operate on-line and provide valuable input to the system operators ...
Delimar, Marko, Peharda, Domagoj, Hebel, Zdravko   +2 more
openaire   +2 more sources