Solar resource estimation using artificial neural networks and comparison with other correlation models

By K. Reddy, M. Ranjan. 2003

259 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/a30036c3f77b47603c0b5cdc93bf878830216ef0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Josef Eitzinger
2. M. Dubrovský
3. Z. Žalud
4. M. Trnka

In Renewable Energy, Sustainability and the Environment

1. Josef Eitzinger
2. M. Dubrovský
3. Z. Žalud
4. M. Trnka

Citations in the corpus

• Global solar radiation in Central European lowlands estimated by various empirical formulae (2005, methodology): “In spite of promising results reported by Reddy and Ranjan (2003), the use of neural network analysis is limited by the nature of the method, which requires a relatively high number of input variables and sufficient testing prior to its transfer to the site distant from the region where the…”