Lack of agreement on how to identify whether borrowers are converging with net zero targets
Hedging strategies were powerless to protect firms from runaway energy price rises
Clearing firms say exchange was slow to react as natural gas prices spiked
A fractional Brownian–Hawkes model for the Italian electricity spot market: estimation and forecasting
This paper proposes a new model for the description and forecast of gross prices of electricity in the liberalized Italian energy market via an additive two-factor model.
Dynamic behavior of hydro/thermal electrical operators under an environmental policy targeting the preservation of ecosystem integrity and air quality
This paper analyzes the effect of an environmental policy targeting the enhancement of ecosystem integrity as well as air quality in the wholesale electricity market.
Addressing competitiveness of emissions-intensive and trade-exposed sectors: a review of Alberta's carbon pricing system
This paper assesses mechanisms used under the CCIR to address competitiveness-driven carbon leakage for emissions-intensive and trade-exposed sectors with a focus on Alberta’s oil and gas industry.
Zone-wide prediction of generating unit-specific power outputs for electricity grid congestion forecasts
This paper explores various statistical and statistical learning methods, with the goal of adequately predicting the on/off status and power output levels of all power plants within a control zone.
This study examines the causal link between the crude oil price and the exchange rate in five major oil-exporting countries (Saudi Arabia, Russia, Canada, the United Arab Emirates and the United States) that have recently adopted different exchange rate…
The authors model a hierarchical Stackelberg game in a competitive power market under high behind-the-meter photovoltaics penetration and demand-side uncertainty, with emphasis on the feedback loop between distributed generation via photovoltaics and…
The authors model the supply and demand curves of electricity day-ahead auctions in a parsimonious way by building an appropriate algorithm to present the information about electricity prices and demand with far fewer parameters than the existing…
This paper provides a method to identify the best predictive variables and the appropriate predictive indexes for an aggregate hydropower storage forecasting model. To this end, we use an entropy-based approach.
The authors propose a new modeling approach that incorporates trend, seasonality and weather conditions as explicative variables in a shallow neural network with an autoregressive feature.
The impact of energy costs on industrial performance: identifying price and quantity effects in the aluminum industry using a data envelopment analysis approach
The authors build a frontier function model with technical and cost efficiency measures to assess the impact of energy costs on competitiveness in the aluminum industry, a heavy energy consumer, by identifying what may be attributed to price and quantity…
The authors employ portfolio analysis to explore whether energy is a fundamental economic factor affecting cryptocurrency prices.
In this paper, we analyze the results of incentive regulation for Brazilian transmission companies regarding operational costs.
This paper investigates the significance of oil, gold and coal returns on Bitcoin returns for a research duration of January 2011 to September 2018 on a monthly periodic basis.
This paper deals with the modeling of trading activity on the European electricity intraday market by a self-exciting point process.
The goal of this paper is twofold: (1) to describe the new outlook of LNG markets, which has become more and more spot-centric, with Asian LNG futures bringing transparency to spot and forward prices; and (2) to address the valuation of the rerouting…
The authors investigate the performance of various value-at-risk (VaR) models in the context of the highly volatile Nordic power futures market, examining whether simple averages of models provide better results than the individual models themselves.
Decomposing supply shocks in the US electricity industry: evidence from a time-varying Bayesian panel vector autoregression model
This paper investigates spillovers between electricity supply shocks and US growth, using monthly data from forty-eight US states from January 2001 to September 2016, and employs a novel strategy for electricity supply shocks based on a time-varying…
In this webinar, a panel discusses what organisations should keep in mind as they embark on their digitalisation journey, the challenges of which they need to be aware to be aware and what is next on the horizon
Energy Risk Awards 2020: Firm’s wide commodities presence, physical and financial risk expertise and financing capabilities result in standout deals
This paper examines the dynamics and spillover behavior between time-varying optimal weights and hedge ratios in order to analyze optimal volatility allocation spillover and characteristic structure.
This paper studies the optimal extraction and taxation of nonrenewable natural resources.