ANN-based short-term load forecasting in electricity markets


Abstract:

This paper proposes an Artificial Neural Network (ANN)-based short-term load forecasting technique that considers electricity price as one of the main characteristics of the system load, demonstrating the importance of considering pricing when predicting loading in today’s electricity markets. Historical load data from the Ontario Hydro system as well as pricing information from the neighboring system are used for testing, showing the good performance of the proposed method.

Año de publicación:

2001

Keywords:

  • Artificial neural networks (ANN)
  • Short-term load forecasting
  • Spot prices
  • electricity markets

Fuente:

scopusscopus

Tipo de documento:

Article

Estado:

Acceso restringido

Áreas de conocimiento:

  • Energía
  • Red neuronal artificial
  • Política energética

Áreas temáticas de Dewey:

  • Física aplicada
  • Probabilidades y matemática aplicada
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 7: Energía asequible y no contaminante
  • ODS 13: Acción por el clima
  • ODS 9: Industria, innovación e infraestructura
Procesado con IAProcesado con IA