Presentation | 2013-07-04 A Proposal of Energy Management Method based on Learning Data of Supply using Smart Meter Hiroki SAKAMOTO, Toshiharu SUGAWARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this research, we proposed Charge-and-discharge planning method of home battery working on Smart Meter in the electric power market model of the neighboring homes in the same area. This method is planned to charge when the demand is lower, discharge when it is higher, this is because electricity charge is in proportion to demand. We evaluated this methods by Multi Agent Simulation. As a result, it is suggested that the optimal parameter exists according to the environment of the area. And the welfare of each home is increased, if home battery or solar panel is established. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Multi Agent Simulation / Smart Grid / Power Interchange |
Paper # | AI2013-2 |
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Committee | AI |
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Conference Date | 2013/6/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Proposal of Energy Management Method based on Learning Data of Supply using Smart Meter |
Sub Title (in English) | |
Keyword(1) | Multi Agent Simulation |
Keyword(2) | Smart Grid |
Keyword(3) | Power Interchange |
1st Author's Name | Hiroki SAKAMOTO |
1st Author's Affiliation | Department of Computer Science and Engineering, Graduate School of Fundamental Science and Engineering, Waseda University() |
2nd Author's Name | Toshiharu SUGAWARA |
2nd Author's Affiliation | Department of Computer Science and Engineering, Graduate School of Fundamental Science and Engineering, Waseda University |
Date | 2013-07-04 |
Paper # | AI2013-2 |
Volume (vol) | vol.113 |
Number (no) | 113 |
Page | pp.pp.- |
#Pages | 5 |
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