EMBED: A Dataset for Energy Monitoring through Building Electricity Disaggregation. - Farrokh Jazizadeh; Milad Afzalan; Burcin Becerik-Gerber; Lucio Soibelman (e-Energy, 2018)

Efficient integration of smart appliances for demand response programs. - Milad Afzalan; Farrokh Jazizadeh (BuildSys, 2018)

Semantic search in household energy consumption segmentation through descriptive characterization. - Milad Afzalan; Farrokh Jazizadeh (BuildSys, 2019)

Indoor Positioning Based on Visible Light Communication: A Performance-based Survey of Real-world Prototypes. - Milad Afzalan; Farrokh Jazizadeh (ACM Comput. Surv., 2019)

An automated spectral clustering for multi-scale data. - Milad Afzalan; Farrokh Jazizadeh (Neurocomputing, 2019)

A Machine Learning Framework to Infer Time-of-Use of Flexible Loads: Resident Behavior Learning for Demand Response. - Milad Afzalan; Farrokh Jazizadeh (IEEE Access, 2020)

Two-stage building energy consumption clustering based on temporal and peak demand patterns. - Milad Afzalan; Farrokh Jazizadeh; Hoda Eldardiry (CoRR, 2020)

Data-Driven Identification of Consumers With Deferrable Loads for Demand Response Programs. - Milad Afzalan; Farrokh Jazizadeh (IEEE Embed. Syst. Lett., 2020)

Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation. - Milad Afzalan; Farrokh Jazizadeh; Hoda Eldardiry (IEEE Access, 2021)