Amin Moazami
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View article: Comparative analysis of simulation tools for developing, testing, and benchmarking advanced control algorithms in building energy management systems
Comparative analysis of simulation tools for developing, testing, and benchmarking advanced control algorithms in building energy management systems Open
Buildings are an important part of the energy consumption of cities. With recent developments in integrated energy systems in buildings, the need for a smart energy management system (EMS) has significantly increased. In this regard, AI-EM…
View article: Solar Energy System Integration for Energy Transition: A Short Review from Technologies and Methods to Energy Management System and Challenges
Solar Energy System Integration for Energy Transition: A Short Review from Technologies and Methods to Energy Management System and Challenges Open
To achieve a net-zero global energy system, the transition to renewable energy sources (RESs) is a crucial step in sustainable development goals. Three key areas that require immediate attention, include energy efficiency, RESs, and electr…
View article: A novel framework for assessing the smartness and the smart readiness level in highly electrified non-residential buildings: A Norwegian case study
A novel framework for assessing the smartness and the smart readiness level in highly electrified non-residential buildings: A Norwegian case study Open
This work presents a new operational framework to measure the smartness and smart readiness of highly electrified buildings. The framework seeks to enhance legacy systems and controls of existing buildings and establish minimum criteria fo…
View article: Calibration and validation of physics-based data-driven models for simulating the thermal behavior of indoor spaces in an assisted living facility
Calibration and validation of physics-based data-driven models for simulating the thermal behavior of indoor spaces in an assisted living facility Open
A case study represented by an assisted living facility in Norway is modeled utilizing physics-based data-driven digital twin (DT) of the indoor thermal spaces with indoor temperature. Autoregressive Distributed Lag (ARDL), Machine Learnin…
View article: Preliminary developments and insights of the Smart Building Hub: A Norwegian e-infrastructure for energy-flexible and healthy buildings
Preliminary developments and insights of the Smart Building Hub: A Norwegian e-infrastructure for energy-flexible and healthy buildings Open
Experience from acquiring, processing, and storing data in past and ongoing research projects has proven to be much more time-consuming than expected due to a plethora of data structures, missing metadata, and security issues. Currently, t…
View article: Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses
Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses Open
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 setpoints with cont…
View article: Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization
Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization Open
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View article: Modulating The HVAC Demand Of A Warehouse To Provide Load Flexibility For Charging Electric Trucks
Modulating The HVAC Demand Of A Warehouse To Provide Load Flexibility For Charging Electric Trucks Open
The charging load of electric vehicles, the magnitude of which is expected to increase, creates complex balancing challenges for the power grid. Elevated thermal inertia of warehouses offers a promising flexibility potential that can be le…
View article: Predicting HVAC-Based Demand Flexibility In Grid- Interactive Efficient Buildings Utilizing Deep Neural Networks
Predicting HVAC-Based Demand Flexibility In Grid- Interactive Efficient Buildings Utilizing Deep Neural Networks Open
Grid-interactive efficient buildings (GEBs) can provide flexibility services to the grid through demand response. This paper presents a novel predictive modeling methodology to estimate the availability of electrical demand flexibility in …
View article: Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and Sustainability
Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and Sustainability Open
This manuscript is the preprint version of a conference paper that is accepted for presentation and publication, International Conference on Future Energy Solutions (FES2023) to be held in Vaasa, Finland, 12-14, June 2023.
View article: Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and Sustainability
Digital Twins: Shaping the Future of Energy Systems and Smart Cities through Cybersecurity, Efficiency, and Sustainability Open
This manuscript is the preprint version of a conference paper that is accepted for presentation and publication, International Conference on Future Energy Solutions (FES2023) to be held in Vaasa, Finland, 12-14, June 2023.