Deep Learning Approach to Power Demand Forecasting in Polish Power System

• Published in: Energies (Basel) Vol. 13; no. 22; p. 6154
• Main Authors: Ciechulski, Tomasz, Osowski, Stanisław
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.11.2020
• Subjects: deep learning; diagnostic features; neural networks; power demand forecasting
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en13226154

The paper presents a new approach to predicting the 24-h electricity power demand in the Polish Power System (PPS, or Krajowy System Elektroenergetyczny—KSE) using the deep learning approach. The prediction system uses a deep multilayer autoencoder to generate diagnostic features and an ensemble of...