Non intrusive load monitoring for demand side management

Energy Informatics

Andrea E. Rizzoli¹  Matteo Salani¹  Marco Derboni¹  Davide Rivola²  Vasco Medici²  Federico Rosato²  Lorenzo Nespoli² 

[1] Dalle Molle Institute for Artificial Intelligence, USI-SUPSI, Lugano, Switzerland;Institute for Applied Sustainability to the Built Environment, SUPSI, Lugano, Switzerland;

关键词: Smart Grid;    Load Monitoring;    Demand Side Management;   

DOI  :  10.1186/s42162-020-00128-2

来源: Springer

【 摘 要 】

In the context of a pilot project, the Lugaggia Innovation Community (LIC), we address the problem of non-intrusive load monitoring for the purpose of demand side management on low voltage grids in presence of distributed power generation (photovoltaic). From the power readings of smart meters, we estimate the photovoltaic production and detect the activation of major loads (heatpumps and domestic water heaters). Experiments, conducted with real data and in silico, show that exploiting meter readings only, we can estimate PV production with MAPE ranging from 4.6% (best case) to 41.9% (worst case). Even with non negligible photovoltaic production estimation errors, the proposed method is capable of detecting the activation of heatpumps and domestic water heaters.

【 授权许可】

CC BY