We present a methodology to estimate fixed cost parameters relevant to the decision to operate, mothballor retire an open-cycle gas turbine (OCGT) using a dynamic discrete choice model, based on fuel andelectricity prices, as well as technical data and the operational status of OCGTs in the PJM...

This study aimed to predict the JKII (Jakarta Islamic Index) price as a price index of sharia stocks and predict the loss risk. This study uses geometric Brownian motion (GBM) and Value at Risk (VaR; with the Monte Carlo Simulation approach) on the daily closing price of JKII from 1 August...

Electricity distribution network is a prime example of a natural local monopoly. In many countries, electricity distribution is regulated by the government. In Finland, the regulator estimates the efficient cost frontier using the data envelopment analysis (DEA) and stochastic frontier analysis...

In northern Europe wind energy became a dominating renewable energy source due to natural conditions and national support schemes. However, the uncertainty about wind generation affects existing network infrastructure and power production planning of generators and cannot not be fully diminished...

This article presents an electricity dispatch model with endogenous electricity generation capacity expansion for Germany over the horizon 2010-2035. The target is to quantify how fuel and carbon price risk impacts investment incentives of thermal power plants. Results point to findings which...

Elektrische Energie ist nur unter erheblichen technischen und ökonomischen Aufwand zu speichern. Nichtsdestotrotz muss für eine zuverlässige Versorgung der Gesellschaft mit elektrischer Energie ein ständiges Gleichgewicht von Angebot und Nachfrage gewährleistet werden können. Aus diesem...

We present a new model for pricing electricity swaps. Two general factors affect all contracts but unique risk factors affect each contract. General factors are average swap prices and deterministic trend-seasonal components, and unique factors are forward premiums. Innovations follow MNIG...