Towards appliance usage prediction for home energy management
Proceedings of the fourth international conference on future energy systems, 2013•dl.acm.org
In this paper, we address the problem of predicting the usage of home appliances where a
key challenge is to model the everyday routine of homeowners and the inter-dependency
between the use of different appliances. To this end, we propose an agent based prediction
algorithm that captures the everyday habits by exploiting their periodic features. We
demonstrate that our approach outperforms existing methods by up to 40% in experiments
based on real-world data from a prominent database of home energy usage.
key challenge is to model the everyday routine of homeowners and the inter-dependency
between the use of different appliances. To this end, we propose an agent based prediction
algorithm that captures the everyday habits by exploiting their periodic features. We
demonstrate that our approach outperforms existing methods by up to 40% in experiments
based on real-world data from a prominent database of home energy usage.
In this paper, we address the problem of predicting the usage of home appliances where a key challenge is to model the everyday routine of homeowners and the inter-dependency between the use of different appliances. To this end, we propose an agent based prediction algorithm that captures the everyday habits by exploiting their periodic features. We demonstrate that our approach outperforms existing methods by up to 40% in experiments based on real-world data from a prominent database of home energy usage.
ACM Digital Library以上显示的是最相近的搜索结果。 查看全部搜索结果