Google Trend Enhanced Deep Learning Dataset for Renewable Energy Asset Price Prediction

• Main Authors: Mishra, Nachiketa, Mishra, Lalatendu, balaji, dinesh, P M, kavyassree
• Format: Dataset
• Language: English
• Subjects: Deep learning; Monetary and finances; Renewable energy
• ISSN: 0950-7051
• DOI: 10.5281/zenodo.13973163

Overview This dataset accompanies the research paper titled “A Google Trend Enhanced Deep Learning Model for the Prediction of Renewable Energy Asset Price” by Dr. Nachiketa Mishra, Dr. Lalatendu Mishra, Balaji Dinesh, P M Kavyassree . The study investigates the predictive efficiency of various forecasting models using oil prices and investor sentiment for renewable energy assets, specifically focusing on renewable energy ETFs such as ICLN, PBD, and QCLN. The dataset contains the processed inputs and raw data used in the analysis, including sentiment indices derived from Google Trends and traditional financial indices. Citation : Please cite this dataset as: Mishra, L., Dinesh, B., Kavyassree, P.M. and Mishra, N., 2024. A Google Trend enhanced deep learning model for the prediction of renewable energy asset price. Knowledge-Based Systems, p.112733. @bibtex@article{MISHRA2025112733,title = {A Google Trend enhanced deep learning model for the prediction of renewable energy asset price},journal = {Knowledge-Based Systems},volume = {308},pages = {112733},year = {2025},issn = {0950-7051},doi = {https://doi.org/10.1016/j.knosys.2024.112733},url = {https://www.sciencedirect.com/science/article/pii/S0950705124013674},author = {Lalatendu Mishra and Balaji Dinesh and P.M. Kavyassree and Nachiketa Mishra},} Code : Refer Repository URL provided Directory Structure and Description data ├── etf-data │ ├── ICLN_INPUT.csv # Input data for ICLN │ ├── PBD_INPUT.csv # Input data for PBD │ ├── QCLN_INPUT.csv # Input data for QCLN │ └── raw-data # Original unprocessed data │ ├── market-data # ETF market prices and oil volatility (OVX) │ ├── navs # Net Asset Value (NAV) data │ └── volatility # Volatility data (GARCH and Moving Average models) ├── google-trends │ ├── keys.txt # Keywords for Google Trends search │ ├── trends │ ├── first-principal-components # Final Google Trend Index (PCA) │ ├── formatted-trends # Cleaned trends data │ └── raw-google-trends # Raw fetched Google Trends data Key Files ICLN_INPUT.csv, PBD_INPUT.csv, QCLN_INPUT.csv: Processed inputs for the prediction models of each ETF. raw-data: Contains original data for market prices, NAVs, and volatility measures (GARCH, Moving Average). google-trends: Data related to Google search trends, including raw, formatted, and the final index derived using Principal Component Analysis (PCA). Usage Notes Google Trends Data: The Google Trend Index constructed from the keywords can be found in the first-pri