Optimization problems of modern day power system are very challenging to resolve
because of its design complexity, wide geographical dispersion and influence from many …

Accurate price forecasting is helpful for market participants to formulate reasonable market
behaviors, and is also an important reference index for market operation and regulators …

This paper applies a multi-factor, stochastic latent moment model to predicting the
imbalance volumes in the Austrian zone of the German/Austrian electricity market. This …

The steel industry in China has been developing slowly, and the prices of this industry's
products have recently fluctuated. To predict the trends of price changes in the future, we …

In general, electricity prices reflect the cost to build, finance, maintain, and operate power
plants and the electricity grid. Therefore, the cost-optimized scheduling of industrial loads …

In regard to the rapid development of renewable energy sources, more and more
photovoltaic (PV) generation systems have been connected to main power networks, and it …

Fast dwindling fossil fuels and its impact on carbon footprint, encourage the use of
renewable energy sources as an alternative power source. Renewable energy resources …

This paper proposes an improved interval fuzzy modeling (imIFML) technique based on
modified linear programming and actual boundary points of data. The imIFML technique …

This book contains the successful invited submissions [1–11] to a Special Issue of Energies
on the subject area of “Forecasting Models of Electricity Prices”. The electric power industry …

The estimation of the clearing price in the electricity market holds significant strategic
importance within the energy sector. Energy firms can enhance their operational efficiency …