Forecasting electricity prices from the state-of-the-art modeling technology and the price determinant perspectives

S Chai, Q Li, MZ Abedin, BM Lucey - Research in International Business …, 2024 - Elsevier
Accurate electricity price forecasting (EPF) is crucial to participants and decision-makers
within the electricity market. This paper reviews 62 screened literature works on EPF during …

Beyond the merit order effect: Impact of the rapid expansion of renewable energy on electricity market price

M Shimomura, AR Keeley, K Matsumoto… - … and Sustainable Energy …, 2024 - Elsevier
A drop in the average electricity market price owing to renewable energy with low marginal
costs has been identified and explored as merit order effect. However, diffusion of variable …

[HTML][HTML] Assessing the relationship between electricity and natural gas prices in European markets in times of distress

JM Uribe, S Mosquera-López, OJ Arenas - Energy Policy, 2022 - Elsevier
We investigate the transmission of natural gas shocks to electricity prices under different
scenarios of electricity generation for 21 European markets, from January 1, 2015 to March …

Variable renewable energy technologies in the Turkish electricity market: Quantile regression analysis of the merit-order effect

SM Sirin, BN Yilmaz - Energy Policy, 2020 - Elsevier
The share of variable renewable energy sources in power supply has increased significantly
in many countries; however, this increase has also created problems in electricity markets …

[HTML][HTML] Weather conditions, climate change, and the price of electricity

S Mosquera-López, JM Uribe, O Joaqui-Barandica - Energy Economics, 2024 - Elsevier
We estimate the effect of temperature, wind speed, solar radiation, and precipitation on
wholesale electricity prices for six European countries, analyzing the full distribution of the …

Drivers of electricity price dynamics: Comparative analysis of spot and futures markets

S Mosquera-López, A Nursimulu - Energy Policy, 2019 - Elsevier
Against the backdrop of numerous evidence that variable renewable generation decreases
electricity prices and increases price volatility, this paper assesses the drivers of electricity …

Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression

G Díaz, J Coto, J Gómez-Aleixandre - Applied Energy, 2019 - Elsevier
Until recently, detailed information on the power system state to estimate future spot prices
by regression analysis was generally restricted to qualified parties. However, to ensure …

An interval prediction method for day-ahead electricity price in wholesale market considering weather factors

X Lu, J Qiu, G Lei, J Zhu - IEEE Transactions on Power Systems, 2023 - ieeexplore.ieee.org
Accurate prediction of electricity prices under uncertainties is an important and challenging
problem for all electricity market participants. This article proposes a novel generative model …

The impact of variable renewable energy technologies on electricity markets: An analysis of the Turkish balancing market

SM Sirin, BN Yilmaz - Energy Policy, 2021 - Elsevier
As global investment in renewable energy technologies continue to trend upward, the effects
of variable (intermittent) renewable energy technologies on power markets have created …

Global sensitivity analysis for a real-time electricity market forecast by a machine learning approach: A case study of Mexico

EC May, A Bassam, LJ Ricalde, MAE Soberanis… - International Journal of …, 2022 - Elsevier
The study presents the hybridization of global sensitivity analysis with data-driven
techniques to evaluate the Mexican electricity market interaction and assess the impact of …