The ability to forecast real-time electricity price for wind power is key to the operation of
energy markets and hedging price risks. Recent research suggests new deep neural …

Electricity prices in spot markets are volatile and can be affected by various factors, such as
generation and demand, system contingencies, local weather patterns, bidding strategies of …

In the last decade, data analytics studies have covered a wide range of fields across the
entire value chain in the electricity sector, from production and transmission to the electricity …

The increasing volatility in electricity markets has reinforced the need for better trading
strategies by both sellers and buyers to limit the exposure to losses. Accordingly, this paper …

In this chapter we present the results of the calculation of the LCOEn for three representative
case studies. The first case study is the Smart Polygeneration Microgrid (SPM) at the Savona …

For several stakeholders, including market players, customers, grid operators, policy-
makers, investors, and energy efficiency initiatives, having a precise estimate of power …

Power load forecasting is significant to research for power supply and strategy departments
of electric power companies. It affects the distribution and the demand for electrical energy in …

The main aim of this book is to provide a state of the art of the Levelized Cost of Energy
calculation for energy communities from both a theoretical, defining a systematic analysis …

An Inflation-Indexed Swap (IIS) is a derivative in which, at every payment date, the
counterparties swap an inflation rate with a fixed rate. For the calculation of the Inflation Leg …

Due to its nature of high-noise, high-nonlinearity and high-uncertainty (3H), predicting and
modeling the real-time, spot electricity price is of the utmost difficulty. Poor forecasting brings …