Author
Listed:
- S.N.Azinee
(Faculty of Manufacturing Engineering Technology, Tati University College, Jalan Panchor, Teluk Kalong, 24000 Kemaman, Terengganu, Malaysia)
- M.K.Zakaria
(Faculty of Manufacturing Engineering Technology, Tati University College, Jalan Panchor, Teluk Kalong, 24000 Kemaman, Terengganu, Malaysia)
- N.S.Atika
(Faculty of Manufacturing Engineering Technology, Tati University College, Jalan Panchor, Teluk Kalong, 24000 Kemaman, Terengganu, Malaysia)
- N.Norsilawati
(Faculty of Manufacturing Engineering Technology, Tati University College, Jalan Panchor, Teluk Kalong, 24000 Kemaman, Terengganu, Malaysia)
- A.R.M.Aminullah
(Faculty of Manufacturing Engineering Technology, Tati University College, Jalan Panchor, Teluk Kalong, 24000 Kemaman, Terengganu, Malaysia)
- Mohd H Ibrahim
(Faculty of Manufacturing Engineering Technology, Tati University College, Jalan Panchor, Teluk Kalong, 24000 Kemaman, Terengganu, Malaysia)
Abstract
Realize intelligent management of urban family life energy, improve energy efficiency, and save energy and reduce emissions. The energy optimization management model in the smart grid environment is constructed, and the system optimization scheduling algorithm is designed to intelligently control the household living energy. The algorithm analysis shows that the load scheduling optimization can effectively reduce the electricity price. By comparing the predicted electricity price with the actual electricity price, the error is found to be small, indicating that the optimization system has practicality. The urban household life energy management intelligent system designed in this article predicts that the absolute value error of the electricity price and the actual electricity price average is 8.06, which is basically the same, which can effectively improve energy utilization efficiency, achieve energy saving and emission reduction, and reduce electricity price.
Suggested Citation
S.N.Azinee & M.K.Zakaria & N.S.Atika & N.Norsilawati & A.R.M.Aminullah & Mohd H Ibrahim, 2019.
"Design Analysis And Topology Optimization For Scissor Car Jack Using Static Linear Approch,"
INWASCON Technology Magazine(i-TECH MAG), Zibeline International Publishing, vol. 1, pages 19-22, September.
Handle:
RePEc:zib:zitecm:v:1:y:2019:p:19-22
DOI: 10.26480/itechmag.01.2019.19.22
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