A comparison of optimal operation of a residential fuel cell co-generation system using clustered demand patterns based on Kullback-Leibler divergence

Akira Yoshida*, Yoshiharu Amano, Noboru Murata, Koichi Ito, Takumi Hasizume

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Fingerprint

Dive into the research topics of 'A comparison of optimal operation of a residential fuel cell co-generation system using clustered demand patterns based on Kullback-Leibler divergence'. Together they form a unique fingerprint.

Mathematics

Engineering & Materials Science