Prediction of transportation energy demand: multivariate adaptive regression splines
MA Sahraei, H Duman, MY Çodur, E Eyduran - Energy, 2021 - Elsevier
Energy usage in the transportation sector has been increasing in Turkey. Good
management of energy is important as well as a reliable prediction of the energy demand in …
management of energy is important as well as a reliable prediction of the energy demand in …
A review on short-term load forecasting using different techniques
SK Panda, P Ray, SR Salkuti - … in Power Systems: Select Proceedings of …, 2022 - Springer
The load prediction in the power system is very important. Logically, different methods and
artificial intelligence (AI) have been applied in short-term load forecasting (STLF). This …
artificial intelligence (AI) have been applied in short-term load forecasting (STLF). This …
An adaptive search equation-based artificial bee colony algorithm for transportation energy demand forecasting
D ÖZDEMİR, S Dörterler - Turkish Journal of Electrical …, 2022 - journals.tubitak.gov.tr
This study aimed to develop a new adaptive artificial bee colony (A-ABC) algorithm that can
adaptively select an appropriate search equation to more accurately estimate transport …
adaptively select an appropriate search equation to more accurately estimate transport …
A Survey on Weather Prediction using Big Data and Machine Learning Techniques
SK Panda, P Ray - 2023 5th International Conference on …, 2023 - ieeexplore.ieee.org
From the different studies of recent papers using Google Scholar, the study examined in
2018 the most relevant scientific articles published which are 500 that dealt with the field of …
2018 the most relevant scientific articles published which are 500 that dealt with the field of …
Short-term electrical load forecasting using hybrid ANN–DE and wavelet transforms approach
SR Salkuti - Electrical Engineering, 2018 - Springer
This paper proposes a hybrid artificial neural networks–differential evolution (ANN–DE) and
wavelet transforms (WTs)-based approach to forecast the short-term electrical load demand …
wavelet transforms (WTs)-based approach to forecast the short-term electrical load demand …
Short term load forecasting using metaheuristic techniques
The power systems are important by using short term load forecasting (STLF) because it
predicts the load in 24 hours ahead or a week ahead. The artificial neural network (ANN) …
predicts the load in 24 hours ahead or a week ahead. The artificial neural network (ANN) …
Short term load forecasting using bootstrap aggregating based ensemble artificial neural network
Background: Short Term Load Forecasting (STLF) can predict load from several minutes to
week plays a vital role to address challenges such as optimal generation, economic …
week plays a vital role to address challenges such as optimal generation, economic …
Fuzzy inference model for short-term load forecasting
SK Panda, P Ray - Journal of The Institution of Engineers (India): Series B, 2022 - Springer
For planning and operation of an energy management system, load forecasting (LF) is
essential. For smooth power system operation (PS), LF enhances the energy-efficient and …
essential. For smooth power system operation (PS), LF enhances the energy-efficient and …
Effectiveness of PSO on short term load forecasting
In this paper, Short term load forecasting is optimized by PSO techniques using BP neural
network's has the power to find global optimization. Actual load and climate data are using …
network's has the power to find global optimization. Actual load and climate data are using …
Short term load forecasting using empirical mode decomposition (emd), particle swarm optimization (pso) and adaptive network-based fuzzy interference systems …
Precise sustainable power source age and power request gauging instruments assume
pivotal jobs in accomplishing proficient and stable activity of powerplant frameworks …
pivotal jobs in accomplishing proficient and stable activity of powerplant frameworks …