Machine Learning Technologies on Energy Economics and Finance

Edited by Mohammad Zoynul Abedin () and Wang Yong ()

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2025
ISBN: 978-3-031-95099-5
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Chapters in this book:

Green Driving: Harnessing Machine Learning to Predict Vehicle Carbon Footprints and Interpreting Results with Explainable AI

Abu Bakar Siddique Mahi, Farhana Sultana Eshita, Monowara Tabassum Maisha, Aloke Kumar Saha and Shah Murtaza Rashid Al Masud

A Comparative Evaluation of Deep Neural Networks for Electricity Price Forecasting

Md Readion Islam Razon, Md Tanjim, Sayed Mahmudul Haque, Md Palash Uddin and Mahmudul Hasan

Energy Forecasting Utilizing CNN-LSTM Attention Mechanism: Empirical Evidence from the Spanish Electricity Market

Ekramul Haque Tusher, Jalal Uddin Md Akbar, Riadul Islam Rabbi and Mahmudul Hasan

Feature Selection and Explainable AI for Transparent Windmill Power Forecasting

Farhana Sultana Eshita, Tasnim Jahin Mowla and Abu Bakar Siddique Mahi

Improving the Analysis of CO 2 $${ }_{2}$$ Emissions with a Filter and Imputation-Based Processing Method

Amrita Das Tipu, Priyanka Roy, Md Palash Uddin and Mahmudul Hasan

A Study on the Efficacy of Machine Learning and Ensemble Learning in Wind Power Generation Analysis

Md Tanjim, Iftada Fariha, Payel Roy, Kanij Fatema and Mahmudul Hasan

Predicting Solar Radiation: A Fusion Approach with CatBoost and Random Forest Ensemble Enhance by Explainable AI

Abu Bakar Siddique Mahi, Farhana Sultana Eshita, Tasnim Jahin Mowla, Aloke Kumar Saha and Shah Murtaza Rashid Al Masud

Modeling Nuclear Fusion Reaction Occurrence with Advanced Deep Learning Techniques: Insights from LIME and SMOTE

Abu Bakar Siddique Mahi, Tasnim Jahin Mowla, Aloke Kumar Saha and Shah Murtaza Rashid Al Masud

A Critical Study on LSTM and Transformer Models for Financial Analysis and Forecasting

Surindernath Sivakumar, Dhairya Katkoriya, Malhar Shah, Tanmayi Maddali and N Prabakaran

Exploring Feature Selection Techniques in Predicting Indian Household Electricity Consumption

Abu Bakar Siddique Mahi, Farhana Sultana Eshita, Nishat Tasnim, Aloke Kumar Saha and Shah Murtaza Rashid Al Masud

Constructing Women Empowerment Indices Based on Kernel PCA and Evaluating Its Determinants: Evidence from BDHS

Most. Suma Khatun, Rajib Dey, Md. Saifur Rahman and Mahmudul Hasan

An Ensemble Machine Learning Approach to Predicting CO2 Emission Rates: Evidence from Denmark’s Energy Data Service

Md. Jakaria Zobair, Sharanika Das, Mahmudul Hasan, Md. Juwel Ahmed Sarker and Mahira Shamim

Smart Grid Stability Analysis with Interpretable Machine Learning and Deep Learning Models

Shamanta Sharmi Sristy, Iftekharul Islam, Mahmudul Hasan, Md. Motiur Rahman Tareq and Kanij Fatema

Weather as a Critical Component in Investment Strategies: Insights for Stakeholders

Emon Kalyan Chowdhury and Tasnim Uddin Chowdhury

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DOI: 10.1007/978-3-031-95099-5

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