This paper includes a review of the different computer tools that can be used to analyse the
integration of renewable energy. Initially 68 tools were considered, but 37 were included in …

The increasing penetration of renewable energy sources (RESs) in the power system has
highlighted the benefits of being able to store energy in a more efficient manner, and the …

Price forecasting is becoming increasingly relevant to producers and consumers in the new
competitive electric power markets. Both for spot markets and long-term contracts, price …

This paper proposes a novel technique to forecast day-ahead electricity prices based on the
wavelet transform and ARIMA models. The historical and usually ill-behaved price series is …

Price forecasting is becoming increasingly relevant to producers and consumers in the new
competitive electric power markets. Both for spot markets and long-term contracts, price …

Three very different methods of accomplishing the same task-managing the operation of the
transmission system in the deregulated power system operating environment-have been …

A short-term forecasting of the electricity price with data-driven algorithms is studied in this
research. A stacked denoising autoencoder (SDA) model, a class of deep neural networks …

This paper presents a method for the scheduling and operation of energy storage for wind
power plants in electricity markets. A dynamic programming algorithm is employed to …

This paper considers forecasting techniques to predict the 24 market-clearing prices of a day-
ahead electric energy market. The techniques considered include time series analysis …

This paper proposes a neural network approach for forecasting short-term electricity prices.
Almost until the end of last century, electricity supply was considered a public service and …