Multiobjective Approach to Privacy Preservation and Energy Scheduling in Smart Grid
碩士 === 元智大學 === 電機工程學系 === 105 === A novel load forecasting mechanism that uses fuzzy logic and big data, termed multipoint fuzzy prediction (MPFP), is proposed. The MPFP can be combined with green buildings and renewable energy sources to reduce peak loads and energy consumption. On the basis of a...
Main Authors: | Hsuan-Hao Chang, 張軒豪 |
---|---|
Other Authors: | Wei-Yu Chiu |
Format: | Others |
Language: | en_US |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/39150453536070608824 |
Similar Items
-
Privacy-Preserving Energy Scheduling for Smart Grid With Renewables
by: Kai Yang, et al.
Published: (2020-01-01) -
A Verifiable Payment Mechanism with Privacy-Preserving in Smart Grid
by: Yen-hao Chen, et al.
Published: (2016) -
Privacy Preserving Billing Protocol for Smart Grid
by: William Artan, et al.
Published: (2012) -
Privacy Preserving Data Aggregation in Smart Grid
by: LIN, MING-CHI, et al.
Published: (2019) -
Evaluation of Privacy-Preserving Methods for Smart Grids
by: Lundgren, Tony, et al.
Published: (2016)