BROWSE
Detail
Conference Paper
Multi-Site Photovoltaic Power Generation Forecasts based on Deep-learning Algorithm
Cited 9 time in 
Share 
Share
- Authors
- Jeong-In Lee, Il-Woo Lee, Sang-Ha Kim
- Issue Date
- 2017-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1119-1121
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents the multi-site photovoltaic (PV) power generation forecast using the deep-learning algorithms. South Korea PV power generation is the most popular among renewable energy sources as government policy. Form of PV power business is small scale which need to forecast the generation of energy. This paper present the forecast model for multi-site PV power plant using deep-learning algorithm connected with renewable energy management system.
- KSP Keywords
- Government Policy, Multi-site, PV power plant, Photovoltaic (PV) power generation, Power business, Renewable Energy sources, Renewable energy management, Small-scale, South Korea, deep learning(DL), energy management system