Newsletters
Newsletter #1: Introducing the Eco-Bot project
Project Public Deliverables
Project Scientific Publications
Afrasiabi, M., Mohammadi, M., Rastegar, M., Stankovic, L., Afrasiabi, S., & Khazaei, M. (2020). Deep-based conditional probability density function forecasting of residential loads. IEEE Transactions on Smart Grid, 11(4), 3746-3757. [8988175]. [https://doi.org/10.1109/TSG.2020.2972513 [https://pureportal.strath.ac.uk/en/publications/deep-based-conditional-probability-density-function-forecasting-o]
Khazaei, M., Stankovic, L., & Stankovic, V. (2020). Evaluation of low-complexity supervised and unsupervised NILM methods and pre-processing for detection of multistate white goods. 5th International Workshop on Non Intrusive Load Monitoring, Yokohama, Japan. In The 5th International Workshop on Non-Intrusive Load Monitoring (NILM’ 20). November 18, 2020, Virtual Event, Japan. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3427771.3427850 [https://pureportal.strath.ac.uk/en/publications/evaluation-of-low-complexity-supervised-and-unsupervised-nilm-met ]
Murray, D., Stankovic, L., & Stankovic, V. (2020). Explainable NILM Networks. 5th International Workshop on Non Intrusive Load Monitoring, Yokohama, Japan. In The 5th International Workshop on Non-Intrusive Load Monitoring (NILM’20), November 18, 2020, Virtual Event, Japan. ACM, New York, NY, USA, 6 pages.[https://doi.org/10.1145/3427771.3427855 [https://pureportal.strath.ac.uk/en/publications/explainable-nilm-networks ]
Zhao, B., Ye, M., Stankovic, L., & Stankovic, V. (2020). Non-intrusive load disaggregation solutions for very low-rate smart meter data. Applied Energy, 268, [114949]. [https://doi.org/10.1016/j.apenergy.2020.114949 [https://pureportal.strath.ac.uk/en/publications/non-intrusive-load-disaggregation-solutions-for-very-low-rate-sma]
Stankovic, L., & Stankovic, V. (2020, May 11). The risks and benefits of AI smart meters. Apolitical London. May 2020. [https://apolitical.co/en/solution_article/the-risks-and-benefits-of-ai-smart-meters]
Khazaei, M., Stankovic, L., & Stankovic, V. (2019). Trends and challenges in smart metering analytics. In D. Sharma (Ed.), Review of Business and Technology Research (RBTR) (2 ed., Vol. 16, pp. 111-117). (Review of Business and Technology Research; Vol. 16, No. 2). [https://pureportal.strath.ac.uk/en/publications/trends-and-challenges-in-smart-metering-analytics]
J. Trzęsiok, S. Słupik, “The identification and analysis of the factors affecting energy consumer behaviour” Research Papers of Wrocław University of Economics, 2019 vol. 63 nr 6, DOI: 10.15611/pn.2019.6.09
D. Murray, L. Stankovic, V. Stankovic, S. Lulic and S. Sladojevic, “Transferability of neural networks approaches for low-rate energy disaggregation”, Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, UK.
Stephanos Camarinopoulos, Theodora Karali, Ulrich Hussels “Eco-Bot Presentation – Chat-Bot for Advising Users on Individual Energy Efficiency Models”, Tagungsband UIS 2018
B. Zhao, L. Stankovic and V. Stankovic, “Electricity usage profile disaggregation of hourly smart meter data”, 4th Int. Workshop on Non-Intrusive Load Monitoring, July 2018, Austin, TX USA. [https://pureportal.strath.ac.uk/en/publications/electricity-usage-profile-disaggregation-of-hourly-smart-meter-da]
L. Stankovic, K. He, V. Stankovic, S. Lulic and S. Sladojevic, “Online accuracy estimation and improvement of event-based NILM algorithms without resorting to submetered individual loads,” EU NILM Workshop, Nov 2017, London, UK. [https://pureportal.strath.ac.uk/en/publications/online-accuracy-estimation-and-improvement-of-event-based-nilm-al]
Marketing Material
German Pilot flyer (in German)
Spanish Pilot Flyer (in Catalan)
Eco-Bot logo (white – png)
Eco-Bot logo (green – png)