@article{Sensors2022a,

title = {A Data-Centric Analysis of the Impact of Non-Electric Data on the 

 Performance of Load Disaggregation Algorithms},

author = {João Gois and Lucas Pereira and Nuno Nunes},

url = {https://doi.org/10.3390/s22186914},

doi = {10.3390/s22186914},

year  = {2022},

date = {2022-12-01},

journal = {Sensors},

volume = {22},

number = {18},

pages = {6914},

abstract = {Recent research on non-intrusive load monitoring, or load disaggregation, suggests that the performance of algorithms can be affected by factors beyond energy data. In particular, by incorporating non-electric data in load disaggregation analysis, such as building and consumer characteristics, the estimation accuracy of consumption data may be improved. However, this association has rarely been explored in the literature. This work proposes a data-centric methodology for measuring the effect of non-electric characteristics on load disaggregation performance. A real-world dataset is considered for evaluating the proposed methodology, using various appliances and sample rates. The methodology results indicate that the non-electric characteristics may have varying effects on the performances of different building appliances. Therefore, the proposed methodology can be relevant for complementing load disaggregation analysis.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/tsg/FaustineP22,

title = {FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load 

 Forecasting With Uncertainty Estimates},

author = {Anthony Faustine and Lucas Pereira},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Trans. Smart Grid},

volume = {13},

number = {3},

pages = {2440--2451},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/widm/AbreuP22,

title = {Privacy protection in smart meters using homomorphic encryption: An 

 overview},

author = {Zita Abreu and Lucas Pereira},

year  = {2022},

date = {2022-01-01},

journal = {WIREs Data Mining Knowl. Discov.},

volume = {12},

number = {4},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gomes2022impact,

title = {Impact of forecasting models errors in a peer-to-peer energy sharing market},

author = {Luis Gomes and Hugo Morais and Calvin Gonçalves and Eduardo Gomes and Lucas Pereira and Zita Vale},

year  = {2022},

date = {2022-01-01},

journal = {Energies},

volume = {15},

number = {10},

pages = {3543},

publisher = {MDPI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{amantegui_benchmark_2022,

title = {Benchmark of Electricity Consumption Forecasting Methodologies Applied to Industrial Kitchens},

author = {Jorge Amantegui and Hugo Morais and Lucas Pereira},

doi = {10.3390/buildings12122231},

issn = {2075-5309},

year  = {2022},

date = {2022-12-01},

urldate = {2022-12-18},

journal = {Buildings},

volume = {12},

number = {12},

pages = {2231},

publisher = {Multidisciplinary Digital Publishing Institute},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bousbiat_unlocking_2022,

title = {Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters & Modular Pipelines},

author = {Hafsa Bousbiat and Anthony Faustine and Christoph Klemenjak and Lucas Pereira and Wilfried Elmenreich},

doi = {10.1109/TII.2022.3206322},

issn = {1941-0050},

year  = {2022},

date = {2022-01-01},

journal = {IEEE Transactions on Industrial Informatics},

pages = {1–9},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gois_novel_2022,

title = {A Novel Methodology for Identifying Appliance Usage Patterns in Buildings Based on Auto-Correlation and Probability Distribution Analysis},

author = {João Góis and Lucas Pereira},

doi = {10.1016/j.enbuild.2021.111618},

issn = {0378-7788},

year  = {2022},

date = {2022-02-01},

urldate = {2021-12-02},

journal = {Energy and Buildings},

volume = {256},

pages = {111618},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pereira_data_2022,

title = {A Data Model and File Format to Represent and Store High Frequency Energy Monitoring and Disaggregation Datasets},

author = {Lucas Pereira and Nuno Velosa and Manuel Pereira},

doi = {10.1038/s41598-022-14517-y},

issn = {2045-2322},

year  = {2022},

date = {2022-06-01},

urldate = {2023-01-13},

journal = {Sci Rep},

volume = {12},

number = {1},

pages = {10284},

publisher = {Nature Publishing Group},

keywords = {},

pubstate = {published},

tppubtype = {article}

}