Smart Meter Data Analysis of a Building Cluster for Heating Load Profile Quantification and Peak Load Shifting
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Cited by:
- Anders Rhiger Hansen & Daniel Leiria & Hicham Johra & Anna Marszal-Pomianowska, 2022. "Who Produces the Peaks? Household Variation in Peak Energy Demand for Space Heating and Domestic Hot Water," Energies, MDPI, vol. 15(24), pages 1-23, December.
- Bampoulas, Adamantios & Pallonetto, Fabiano & Mangina, Eleni & Finn, Donal P., 2022. "An ensemble learning-based framework for assessing the energy flexibility of residential buildings with multicomponent energy systems," Applied Energy, Elsevier, vol. 315(C).
- Schaffer, Markus & Vera-Valdés, J. Eduardo & Marszal-Pomianowska, Anna, 2024. "Exploring smart heat meter data: A co-clustering driven approach to analyse the energy use of single-family houses," Applied Energy, Elsevier, vol. 371(C).
- O'Connell, Sarah & Reynders, Glenn & Keane, Marcus M., 2021. "Impact of source variability on flexibility for demand response," Energy, Elsevier, vol. 237(C).
- Lesley Thomson & David Jenkins, 2023. "The Use of Real Energy Consumption Data in Characterising Residential Energy Demand with an Inventory of UK Datasets," Energies, MDPI, vol. 16(16), pages 1-29, August.
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Keywords
smart meter data; heat substation; clustering; load profile; peak load; load shifting;All these keywords.
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