Printed from https://ideas.repec.org/b/spr/isorms/978-3-031-95099-5.html
My bibliography
Save this book
Machine Learning Technologies on Energy Economics and Finance
Editor
- Mohammad Zoynul Abedin(Swansea University)Wang Yong(Dongbei University of Finance and Economics)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-031-95099-5
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a for a similarly titled item that would be available.
Book Chapters
The following chapters of this book are listed in IDEAS- Abu Bakar Siddique Mahi & Farhana Sultana Eshita & Monowara Tabassum Maisha & Aloke Kumar Saha & Shah Murtaza Rashid Al Masud, 2025. "Green Driving: Harnessing Machine Learning to Predict Vehicle Carbon Footprints and Interpreting Results with Explainable AI," International Series in Operations Research & Management Science,, Springer.
- Md Readion Islam Razon & Md Tanjim & Sayed Mahmudul Haque & Md Palash Uddin & Mahmudul Hasan, 2025. "A Comparative Evaluation of Deep Neural Networks for Electricity Price Forecasting," International Series in Operations Research & Management Science,, Springer.
- Ekramul Haque Tusher & Jalal Uddin Md Akbar & Riadul Islam Rabbi & Mahmudul Hasan, 2025. "Energy Forecasting Utilizing CNN-LSTM Attention Mechanism: Empirical Evidence from the Spanish Electricity Market," International Series in Operations Research & Management Science,, Springer.
- Farhana Sultana Eshita & Tasnim Jahin Mowla & Abu Bakar Siddique Mahi, 2025. "Feature Selection and Explainable AI for Transparent Windmill Power Forecasting," International Series in Operations Research & Management Science,, Springer.
- Amrita Das Tipu & Priyanka Roy & Md Palash Uddin & Mahmudul Hasan, 2025. "Improving the Analysis of CO 2 $${ }_{2}$$ Emissions with a Filter and Imputation-Based Processing Method," International Series in Operations Research & Management Science,, Springer.
- Md Tanjim & Iftada Fariha & Payel Roy & Kanij Fatema & Mahmudul Hasan, 2025. "A Study on the Efficacy of Machine Learning and Ensemble Learning in Wind Power Generation Analysis," International Series in Operations Research & Management Science,, Springer.
- Abu Bakar Siddique Mahi & Farhana Sultana Eshita & Tasnim Jahin Mowla & Aloke Kumar Saha & Shah Murtaza Rashid Al Masud, 2025. "Predicting Solar Radiation: A Fusion Approach with CatBoost and Random Forest Ensemble Enhance by Explainable AI," International Series in Operations Research & Management Science,, Springer.
- Abu Bakar Siddique Mahi & Tasnim Jahin Mowla & Aloke Kumar Saha & Shah Murtaza Rashid Al Masud, 2025. "Modeling Nuclear Fusion Reaction Occurrence with Advanced Deep Learning Techniques: Insights from LIME and SMOTE," International Series in Operations Research & Management Science,, Springer.
- Surindernath Sivakumar & Dhairya Katkoriya & Malhar Shah & Tanmayi Maddali & N Prabakaran, 2025. "A Critical Study on LSTM and Transformer Models for Financial Analysis and Forecasting," International Series in Operations Research & Management Science,, Springer.
- Abu Bakar Siddique Mahi & Farhana Sultana Eshita & Nishat Tasnim & Aloke Kumar Saha & Shah Murtaza Rashid Al Masud, 2025. "Exploring Feature Selection Techniques in Predicting Indian Household Electricity Consumption," International Series in Operations Research & Management Science,, Springer.
- Most. Suma Khatun & Rajib Dey & Md. Saifur Rahman & Mahmudul Hasan, 2025. "Constructing Women Empowerment Indices Based on Kernel PCA and Evaluating Its Determinants: Evidence from BDHS," International Series in Operations Research & Management Science,, Springer.
- Md. Jakaria Zobair & Sharanika Das & Mahmudul Hasan & Md. Juwel Ahmed Sarker & Mahira Shamim, 2025. "An Ensemble Machine Learning Approach to Predicting CO2 Emission Rates: Evidence from Denmarkâs Energy Data Service," International Series in Operations Research & Management Science,, Springer.
- Shamanta Sharmi Sristy & Iftekharul Islam & Mahmudul Hasan & Md. Motiur Rahman Tareq & Kanij Fatema, 2025. "Smart Grid Stability Analysis with Interpretable Machine Learning and Deep Learning Models," International Series in Operations Research & Management Science,, Springer.
- Emon Kalyan Chowdhury & Tasnim Uddin Chowdhury, 2025. "Weather as a Critical Component in Investment Strategies: Insights for Stakeholders," International Series in Operations Research & Management Science,, Springer.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isorms:978-3-031-95099-5. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.