From Data to Decisions: A Novel AI-Based Framework to Energy Purchase Optimization in Volatile Markets

This publication has 26 references indexed in Scilit:

• A data-driven merit order: Learning a fundamental electricity price model
  Energy Economics, 2025
• Toward high-resolution projection of electricity prices: A machine learning approach to quantifying the effects of high fuel and CO2 prices
  Energy Economics, 2023
• Forecasting electricity prices from the state-of-the-art modeling technology and the price determinant perspectives
  Research in International Business and Finance, 2023
• Assessing the impact of the Russia–Ukraine war on energy prices: A dynamic cross-correlation analysis
  Physica A: Statistical Mechanics and its Applications, 2023
• CO2 price effects on the electricity market and greenhouse gas emissions levels: an application to the Spanish market
  Clean Technologies and Environmental Policy, 2022
• Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
  Applied Energy, 2021
• Energy price prediction using data-driven models: A decade review
  Computer Science Review, 2021
• Probabilistic mid- and long-term electricity price forecasting
  Renewable and Sustainable Energy Reviews, 2018
• Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
  Applied Energy, 2018
• Are electricity prices affected by the US dollar to Euro exchange rate? The Spanish case
  Energy Economics, 2009