Effectiveness of random forest model in predicting stock prices of solar energy companies in India
| Year of publication: |
2024
|
|---|---|
| Authors: | Meher, Bharat Kumar ; Anand, Abhishek ; Kumar, Sunil ; Birau, Ramona ; Manohar Singh |
| Published in: |
International Journal of Energy Economics and Policy : IJEEP. - Mersin : EconJournals, ISSN 2146-4553, ZDB-ID 2632577-9. - Vol. 14.2024, 2, p. 426-434
|
| Subject: | Forecasting | Machine Learning | Energy | Random Forest | Indien | India | Börsenkurs | Share price | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Sonnenenergie | Solar energy | Forstwirtschaft | Forestry |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.32479/ijeep.15581 [DOI] hdl:11159/653394 [Handle] |
| Source: | ECONIS - Online Catalogue of the ZBW |
-
Sadorsky, Perry A., (2022)
-
Forecasting stock prices of fintech companies of India using random forest with high-frequency data
Meher, Bharat Kumar, (2024)
-
Enhancing inflation nowcasting with online search data: a random forest application for Colombia
Roldán-Ferrín, Felipe, (2025)
- More ...
-
Forecasting stock prices of fintech companies of India using random forest with high-frequency data
Meher, Bharat Kumar, (2024)
-
Meher, Bharat Kumar, (2025)
-
Meher, Bharat Kumar, (2022)
- More ...