Application of bidirectional recurrent neural network combined with deep belief network in short-term load forecasting

X Tang, Y Dai, Q Liu, X Dang, J Xu - IEEE Access, 2019 - ieeexplore.ieee.org
The importance of conducting potential analysis of load data and ensuring the effectiveness
of feature selection cannot be overstated when it comes to enhancing the accuracy of short …

Analysis of various speed control methods for PMSM drive-based electric vehicles

A Viswa Teja, W Razia Sultana, SR Salkuti - Power Quality in Microgrids …, 2023 - Springer
This study discusses various permanent magnet synchronous motorspeed controlstrategies.
As opposed to other motors used in drives, permanent magnet synchronous motor is …

[PDF][PDF] New approach to peak load forecasting based on EMD and ANFIS

VA Okolobah, Z Ismail - Indian Journal of Science and Technology, 2013 - academia.edu
This paper presents a new approach to Peak Load Forecasting based on EMD and ANFIS.
EMD is used to decompose the load data into several Intrinsic Mode Functions (IMFs); then …

Demand forecasting in the beauty industry using fuzzy inference systems

RF Souza, P Wanke, H Correa - Journal of Modelling in Management, 2020 - emerald.com
Purpose This study aims to analyze the performance of four different fuzzy inference system-
based forecasting tools using a real case company. Design/methodology/approach The …

[PDF][PDF] Study of load forecasting techniques using fuzzy logic

A Tale, AS Gusain, J Baguli, R Sheikh… - International Journal of …, 2017 - academia.edu
In today's world, load forecasting is an important part of planning in power system for
developing countries, to utilise power more efficiently. In developing countries like India …

Short-Term Load Forecasting Using Jaya Algorithm

P Ray, SR Salkuti - Power Quality in Microgrids: Issues, Challenges and …, 2023 - Springer
Load forecasting plays an essential role in the power systemenergy management system.
Important factors that are crucial for short-termload forecasting (STLF) are unit commitment …

Medium term load forecasting using fuzzy logic approach: A case study of Taroudannt province

H Stitou, MA Atillah, A Boudaoud… - E3S Web of …, 2023 - e3s-conferences.org
Increasing energy efficiency and reliability of power grids is becoming an essential part of
grid energy management. Accurately predicting load demand is one of the most important …

Fuzzy Forecasting Methods for Energy Planning

B Oztaysi, S Çevik Onar, E Bolturk… - … Intelligence with Theory …, 2018 - Springer
For energy planning, forecasting the energy demand for a specific time interval and supply
of a specific source is very crucial. In the energy sector, forecasting may be long term …

Modeling potential future energy demand for Turkey in 2034 by using an integrated fuzzy methodology

A Balin, H Baracli - Journal of Testing and …, 2014 - asmedigitalcollection.asme.org
Since the decisions made regarding the future include uncertainty for operations, alternative
predictions are needed to be developed in such decision-making processes. Accurate …

[引用][C] Türkiye enerji planlaması için çok ölçütlü bir model önerisi

A Balın - 2014 - YTÜ Fen Bilimleri Enstitüsü