Blar i NTNU Open på forfatter "Moazami, Amin Nitter"
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Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different building categories
Campodonico Avendano, Italo Aldo; Javan, Farzad Dadras; Najafi, Behzad; Moazami, Amin Nitter; Rinaldi, Fabio (Peer reviewed; Journal article, 2023)The present study is focused on assessing the impact of the performance of baseline load prediction pipelines on the estimation (by the grid operator) accuracy of the flexibility offered by different categories of buildings. ... -
Collective Intelligence Function in Extreme Weather Conditions: High-Resolution Impact Assessment of Energy Flexibility on Building Energy Performance
Hosseini, Mohammad; Nik, Vahid m.; Moazami, Amin Nitter (Chapter, 2023)Collective intelligence (CI) in demand-side management (DSM) can enhance the flexibility of urban energy systems. Extreme climates cause intensively high loads on the urban energy systems resulting in power outages. To ... -
Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization
Raymand, Farhang; Najafi, Behzad; Mamaghani, Alireza Haghighat; Moazami, Amin Nitter; Rinaldi, Fabio (Peer reviewed; Journal article, 2023)Smart meter-driven remote auditing of buildings, as an alternative to the labor-intensive on-site visits, permits large-scale and rapid identification of buildings with low energy performance. The existing literature has ... -
Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses
Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Najafi, Behzad; Moazami, Amin Nitter; Rinaldi, Fabio (Peer reviewed; Journal article, 2023)This paper introduces a methodology for predicting a warehouse’s reduced load while offering flexibility. Physics-based energy simulations are first performed to model flexibility events, which involve adjusting cooling ...