Optimal electric vehicle charging scheduling based on binary particle swarm optimization /
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Format: | Thesis Book |
Language: | English |
Published: |
2017.
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LEADER | 01468cam a2200361 i 4500 | ||
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001 | u1058047 | ||
003 | SIRSI | ||
005 | 201708031424 | ||
008 | 170803s2017 my a m 000 0 eng | ||
040 | |a UMM |d UMJ |e rda | ||
090 | |a TK7 |b UM 2017 Ami | ||
097 | |a TK7 |b UM 2017 Ami | ||
100 | 1 | |a Amin, Adil, |e author. | |
245 | 1 | 0 | |a Optimal electric vehicle charging scheduling based on binary particle swarm optimization / |c Adil Amin. |
264 | 1 | |c 2017. | |
264 | 4 | |c 2017. | |
300 | |a xiv, 87 leaves : |b illustrations ; |c 30 cm. | ||
336 | |a text |2 rdacontent | ||
337 | |a unmediated |2 rdamedia | ||
337 | |a computer |2 rdamedia | ||
338 | |a volume |2 rdacarrier | ||
338 | |a computer disc |2 rdacarrier | ||
502 | |b M.Eng. |c Jabatan Kejuruteraan Elektrik, Fakulti Kejuruteraan, Universiti Malaya |d 2017. | ||
504 | |a Bibliography: leaves 73-75. | ||
530 | |a Issued also in CD. | ||
650 | 0 | |a Electric vehicles |x Batteries. | |
650 | 0 | |a Swarm intelligence. | |
710 | 2 | |a Universiti Malaya. |b Jabatan Kejuruteraan Elektrik, |e degree granting institution. | |
596 | |a 1 7 | ||
900 | |a NSM AMA | ||
999 | |a TK7 UM 2017 AMI |w LC |c 1 |i A516920124 |d 28/8/2017 |f 28/8/2017 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 25/8/2017 |1 STEM | ||
999 | |a TK7 UM 2017 AMI |w LC |c 1 |i A516964213 |d 12/12/2017 |f 12/12/2017 |g 1 |l STACKS |m P07JURUTER |r N |s Y |t TESIS |u 12/12/2017 |1 STEM | ||
999 | |a TK7 UM 2017 AMI |w LC |c 2 |i A516964227 |d 12/12/2017 |f 12/12/2017 |g 1 |l COUNTER |m P07JURUTER |r N |s Y |t CD |u 12/12/2017 |1 STEM |