Energy Disaggregation via Adaptive Filtering

TL;DR

This paper introduces a novel approach to energy disaggregation by reformulating it as an adaptive filtering problem, enabling online solutions and improved theoretical insights into device-level power signal recovery.

Contribution

It presents a new adaptive filtering algorithm for energy disaggregation and provides a theoretical framework for understanding its optimality and online implementation.

Findings

Proposes an adaptive filtering method for energy disaggregation

Demonstrates online disaggregation capability using a filter bank

Provides theoretical analysis of the method's optimality

Abstract

The energy disaggregation problem is recovering device level power consumption signals from the aggregate power consumption signal for a building. We show in this paper how the disaggregation problem can be reformulated as an adaptive filtering problem. This gives both a novel disaggregation algorithm and a better theoretical understanding for disaggregation. In particular, we show how the disaggregation problem can be solved online using a filter bank and discuss its optimality.