Srinivasan D.
124
Coauthors
35
Documentos
Volumen de publicaciones por año
Cargando gráfico
| Año de publicación | Num. Publicaciones |
|---|---|
| 2014 | 2 |
| 2015 | 1 |
| 2016 | 3 |
| 2017 | 2 |
| 2018 | 9 |
| 2019 | 3 |
| 2020 | 8 |
| 2021 | 3 |
| 2022 | 4 |
Publicaciones por áreas de conocimiento
Cargando gráfico
| Área de conocimiento | Num. Publicaciones |
|---|---|
| Energía renovable | 21 |
| Energía | 19 |
| Política energética | 8 |
| Aprendizaje automático | 7 |
| Energía solar | 4 |
| Optimización matemática | 4 |
| Fotovoltaica | 3 |
| Vehículo eléctrico | 2 |
| Simulación por computadora | 2 |
| Ingeniería energética | 2 |
Publicaciones por áreas temáticas
Cargando gráfico
| Área temática | Num. Publicaciones |
|---|---|
| Física aplicada | 26 |
| Economía de la tierra y la energía | 10 |
| Ciencias de la computación | 8 |
| Otras ramas de la ingeniería | 7 |
| Métodos informáticos especiales | 3 |
| Geología, hidrología, meteorología | 2 |
| Dirección general | 1 |
| Probabilidades y matemática aplicada | 1 |
| Sistemas | 1 |
| Ingeniería y operaciones afines | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 35 |
| Google Scholar | 0 |
| RRAAE | 0 |
Cargando gráfico
Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Gandhi O. | 19 |
| Carlos David Rodríguez-Gallegos | 18 |
| Dazhi Yang | 13 |
| Reindl T. | 11 |
| Yagli G.M. | 11 |
| Zhang W. | 10 |
| Quan H. | 6 |
| Sanjib Kumar Panda | 5 |
| Rathore A.K. | 3 |
| Sampath Kumar D. | 3 |
Cargando gráfico
Top Keywords
Cargando gráfico
Publicaciones del autor
Automatic hourly solar forecasting using machine learning models
ArticleAbstract: Owing to its recent advance, machine learning has spawned a large collection of solar forecasting woPalabras claves:Automatic machine learning, Solar forecasting, R caret packageAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopusDesign, Analysis and Implementation of a Four-Tier Centralized Control Architecture for Intelligent Operation of Grid-connected Microgrids
Conference ObjectAbstract: Intelligent Microgrids (MG) hold the key for optimal load and generation management. The proliferatiPalabras claves:Centralized control, Grid-connected Microgrids, Power sharing, renewable energy integrationAutores:Prasanna I.V., Sanjib Kumar Panda, Srinivasan D.Fuentes:scopusEnsemble solar forecasting and post-processing using dropout neural network and information from neighboring satellite pixels
ArticleAbstract: Ensemble weather forecasts are often found to be under-dispersed and biased. Post-processing using sPalabras claves:Dropout neural network, Ensemble solar forecasting, Machine learning, Monte Carlo sampling, Post-processing, Satellite-derived irradianceAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopusEnsemble solar forecasting using data-driven models with probabilistic post-processing through GAMLSS
ArticleAbstract: Forecast performance of data-driven models depends on the local weather and climate regime, which maPalabras claves:Ensemble forecasting, Forecast combination, Machine learning, Post-processing, probabilistic forecasting, TIME SERIESAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopusReconciling solar forecasts: Probabilistic forecasting with homoscedastic Gaussian errors on a geographical hierarchy
ArticleAbstract: Hierarchical forecasting and reconciliation are new to the field of solar engineering. Previous papePalabras claves:Machine learning, Numerical weather pbkp_rediction, probabilistic forecasting, Reconciliation, Satellite-derived irradiance, solar forecastingAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopus