Predicting the Gap in the Day-Ahead and Real-Time Market Prices Leveraging Exogenous Weather Data

Financial Time Series Forecasting with the Deep Learning Ensemble Model

(2023) Kaijian He et al.   Mathematics

Understanding the Structural Characteristics of Convergence Bidding in Nodal Electricity Markets

(2020) Mahdi Kohansal et al.   IEEE Transactions on Industrial Informatics

Strategic Convergence Bidding in Nodal Electricity Markets: Optimal Bid Selection and Market Implications

(2020) Mahdi Kohansal et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids

(2019) Maheen Zahid et al.   Electronics

Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities

(2019) Sana Mujeeb et al.   Sustainability

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

(2018) Salah Bouktif et al.   Energies

Merit-order effects of renewable energy and price divergence in California’s day-ahead and real-time electricity markets

(2016) C.K. Woo et al.   ENERGY POLICY

Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction

(2014) Ayodele Ariyo Adebiyi et al.   Journal of Applied Mathematics

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Electricity price forecasting in deregulated markets: A review and evaluation

(2008) Sanjeev Kumar Aggarwal et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Modeling and Computing Two-Settlement Oligopolistic Equilibrium in a Congested Electricity Network

(2007) Jian Yao et al.   OPERATIONS RESEARCH