Electricity market liberalization and the absence of cost-efficient energy storage
technologies have led to the transformation of state-owned electricity companies into …

Accurate electricity price forecasting is a formidable challenge for market participants and
managers owing to high volatility of the electricity prices. Price forecasting is also the most …

In deregulated electricity markets, sophisticated factors, such as the weather, the season,
high frequencies, the presence of jumps and the relationship between electricity loads and …

Artificial neural networks (ANNs) have been widely applied in electricity price forecasts due
to their nonlinear modeling capabilities. However, it is well known that in general, traditional …

Accurate forecast of the hourly spot price of electricity plays a vital role in energy trading
decisions. However, due to the complex nature of the power system, coupled with the …

Day-ahead electricity price forecasting plays a critical role in balancing energy consumption
and generation, optimizing the decisions of electricity market participants, formulating …

Extreme electricity prices occur with a higher frequency and a larger magnitude in recent
years. Accurate forecasting of the occurrence of extreme prices is of great concern to market …

Accurate forecasting of electricity market prices presents important information to market
participants. This provides forward planning of their bidding strategies in order to maximise …

Forecasting electricity prices has been a widely investigated research issue in the
deregulated power market scenario. High price volatilities, price spikes caused by a number …

One of the most relevant challenges that have arisen in electricity markets during the last few
years is the emergence of extremely low prices. Trying to predict these events is crucial for …