Exploring Load Forecasting: Bridging Statistical Methods to Deep Learning Techniques in Real-World Environment.
Ioannis MakrisNikolaos MoschosPanagiotis I. Radoglou-GrammatikisNikolaos AndriopoulosNikolaos TzanisKyriaki-Nefeli MalamakiMaria FotopoulouKonstantinos KaousiasGeorge Lampsidis TomprosPanagiotis G. SarigiannidisPublished in: DCOSS-IoT (2024)
Keyphrases
- statistical methods
- deep learning
- load forecasting
- machine learning
- short term load forecasting
- short term
- power system
- electric power
- statistical analysis
- rbf neural network
- long term
- unsupervised learning
- support vector regression
- machine learning methods
- bp neural network
- statistical models
- weakly supervised
- mental models
- neural network model
- data mining
- pattern recognition
- computational intelligence
- radial basis function
- fault diagnosis
- wavelet neural network
- neural network