Blar i NTNU Open på forfatter "Nik, Vahid m."
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CIRLEM: a synergic integration of Collective Intelligence and Reinforcement learning in Energy Management for enhanced climate resilience and lightweight computation
Nik, Vahid m.; Hosseini, Mohammad (Peer reviewed; Journal article, 2023)A novel energy management (EM) approach is introduced, integrating core elements of collective intelligence (CI) and reinforcement learning (RL) and called CIRLEM. It operates by distributing a flexibility signal from the ... -
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 ... -
High-resolution impact assessment of climate change on building energy performance considering extreme weather events and microclimate – Investigating variations in indoor thermal comfort and degree-days
Hosseini, Mohammad; Javanroodi, Kavan; Hosseini, Mohammad; Nik, Vahid M.; Javanroodi, Kavan; Javanroodi, Kavan; Nik, Vahid m.; Nik, Vahid m. (Peer reviewed; Journal article, 2022)Climate change and urbanization are two major challenges when planning for sustainable energy transition in cities. The common approach for energy demand estimation is using only typical meso-scale weather data in building ...