| Item type |
紀要論文 / Departmental Bulletin Paper(1) |
| 公開日 |
2020-11-24 |
| タイトル |
|
|
タイトル |
家電機器内のセンサ活用による室内環境に応じた不規則な消費電力量の予測 |
|
言語 |
ja |
| タイトル |
|
|
タイトル |
Predicting Irregular Power Consumption According to the Indoor Environment with Sensor of Home Appliances |
|
言語 |
en |
| 言語 |
|
|
言語 |
jpn |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
predicting power consumption |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
classifier |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
clustering |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
ECHONET Lite |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
departmental bulletin paper |
| ID登録 |
|
|
ID登録 |
10.34411/00001152 |
|
ID登録タイプ |
JaLC |
| 著者 |
宮澤, 重明
志田, 匠
一色, 正男
杉村, 博
Miyazawa, Shigeaki
Shaida, Takumi
Isshiki, Masao
Sugimura, Hiroshi
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
We propose a method for predicting a future pattern of the power consumption by mechanically classifying multiple patterns of the power consumption based on sensor information collected from home appliances. Conventional methods for predicting the amount of power consumed by general households or similar small areas are effective for a regular change in power consumption. However, it is difficult to predict an irregular change by those methods. In our method, representative patterns are mechanically extracted from the past changes in the power consumption recorded each day, and a future pattern is predicted from those representative patterns. The past representative patterns are extracted by clustering. The future pattern is predicted by creating a model of the correlation between the consumption pattern and indoor conditions using a classifier. The prediction by the classifier requires data on the indoor conditions. Therefore, we constructed a sensor network using networked home appliances. The use of the home appliances enabled the construction of a sensor network that is easier to maintain and lower in cost than conventional sensor networks. The result of an experiment on the maximum absolute error confirmed the effectiveness of the prediction based on the information collected from home appliances. |
|
言語 |
en |
| 書誌情報 |
神奈川工科大学研究報告.B,理工学編
巻 42,
p. 9-13,
発行日 2018-03-20
|
| 出版者 |
|
|
出版者 |
神奈川工科大学 |
| ISSN |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
21882878 |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA12669200 |
| フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
kkb-042-002.pdf (892.8 kB)
