Name: A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus

Link: https://www.mdpi.com/2071-1050/12/9/3612/htm

Important Information:

  1. Target: Compare different ML models for load forecasting
  2. ML Algorithms Used:
    1. Artificial Neural Network (ANN)
    2. Support Vector Machine (SVM)
    3. Multiple Linear Regression (MLR)
    4. Adaptive Neuro-Fuzzy Inference System (ANFIS)
  3. Dataset:
    1. Electricity load data in Cyprus (Country)
  4. Problems Addressed:
    1. Difficulties in predicting energy demand and consumption due to the nonlinearity and volatility of real-time energy usage.
  5. Conclusion:
    1. The results indicate that SVM is relatively superior to other ML techniques,