TY  - JOUR 
AU  - Bokde, Neeraj Dhanraj
AU  - Feijóo Lorenzo, Andrés Elías
AU  - Al-Ansari, Nadhir
AU  - Yaseen, Zaher Mundher
PY  - 2019
SN  - 21693536
UR  - http://hdl.handle.net/11093/4248
AB  - Wind energy is an attractive renewable sources and its prediction is highly essential for multiple applications. Over the literature, there are several studies have been focused on the related researches of synthetic wind speed data generation. In...
LA  - eng
PB  - IEEE Access
TI  - A comparison between reconstruction methods for generation of synthetic time series applied to wind speed simulation
DO  - 10.1109/ACCESS.2019.2941826
ER  -