Modeling and forecasting medium-term electricity consumption using component estimation technique
The increasing shortage of electricity in Pakistan disturbs almost all sectors of its economy.
As, for accurate policy formulation, precise and efficient forecasts of electricity consumption …
As, for accurate policy formulation, precise and efficient forecasts of electricity consumption …
Short time load forecasting for Urmia city using the novel CNN-LTSM deep learning structure
YK Ahranjani, M Beiraghi, R Ghanizadeh - Electrical Engineering, 2024 - Springer
In the present time, electricity stands as one of the most fundamental needs within human
societies. This is evident in the fact that all industrial activities and a significant portion of …
societies. This is evident in the fact that all industrial activities and a significant portion of …
An improved RBF neural network for short-term load forecast in smart grids
With the rapid development of smart grids, a large volume of smart meter data has been
collected. The analysis of these big data can be leveraged to channel the data from …
collected. The analysis of these big data can be leveraged to channel the data from …
Structure design for RBF neural network based on improved K-means algorithm
S Yuqing, Q Junfei, H Honggui - 2016 Chinese Control and …, 2016 - ieeexplore.ieee.org
Aiming at the disadvantages of the traditional K-means clustering algorithm, a new algorithm
based on density is proposed to remove the noises and outliers in this paper. This algorithm …
based on density is proposed to remove the noises and outliers in this paper. This algorithm …
The forecasting model of reactive power based on SVM
L Bo, X Cheng, X Liu, H Zheng… - 2020 IEEE 4th Information …, 2020 - ieeexplore.ieee.org
With the development of distributed power generation and microgrids, the demand for fine-
grained control of the power grid is becoming more and more urgent. Power grid reactive …
grained control of the power grid is becoming more and more urgent. Power grid reactive …
A Wavelet Transform-Based Hybrid Short Term Load Forecasting Method for Managing the Costs of EV Charging Stations and Parking Lots
Y Khanchoupani, M Beiraghi… - Signal Processing and …, 2023 - oiccpress.com
Advanced data processing methods are emerging on a daily basis and they can be used in
many tasks. Short-term load forecasting (STLF) is an essential task for power distribution …
many tasks. Short-term load forecasting (STLF) is an essential task for power distribution …
[引用][C] A Wavelet Transform-Based Hybrid Short Term Load Forecasting Method for Managing the Costs of EV Charging Stations and Parking Lots
YK Ahranjani, M Beiraghi, R Ghanizadeh - spre.stb.iau.ir
Advanced data processing methods are emerging on a daily basis and they can be used in
many tasks. Short-term load forecasting (STLF) is an essential task for power distribution …
many tasks. Short-term load forecasting (STLF) is an essential task for power distribution …