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Kadir Amasyali
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Year
A review of data-driven building energy consumption prediction studies
K Amasyali, NM El-Gohary
Renewable and Sustainable Energy Reviews, 2018
15232018
Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
Y Du, H Zandi, O Kotevska, K Kurte, J Munk, K Amasyali, E Mckee, F Li
Applied Energy 281, 116117, 2020
1692020
Machine learning for occupant-behavior-sensitive cooling energy consumption prediction in office buildings
K Amasyali, N El-Gohary
Renewable and Sustainable Energy Reviews 142, 110714, 2021
1192021
Energy-related values and satisfaction levels of residential and office building occupants
K Amasyali, NM El-Gohary
Building and Environment 95, 251-263, 2016
822016
Building Lighting Energy Consumption Prediction for Supporting Energy Data Analytics
K Amasyali, N El-Gohary
Procedia Engineering 145, 511-517, 2016
572016
Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
Y Du, F Li, J Munk, K Kurte, O Kotevska, K Amasyali, H Zandi
Electric Power Systems Research 192, 106959, 2021
472021
A comparison study on trading behavior and profit distribution in local energy transaction games
Y Chen, B Park, X Kou, M Hu, J Dong, F Li, K Amasyali, M Olama
Applied Energy 280, 115941, 2020
472020
Real data-driven occupant-behavior optimization for reduced energy consumption and improved comfort
K Amasyali, NM El-Gohary
Applied Energy 302, 117276, 2021
392021
Evaluating the Adaptability of Reinforcement Learning Based HVAC Control for Residential Houses
K Kurte, J Munk, O Kotevska, K Amasyali, R Smith, E McKee, Y Du, B Cui, ...
Sustainability 12 (18), 7727, 2020
312020
Deep Learning for Building Energy Consumption Prediction
K Amasyali, N El-Gohary
6th CSCE/CRC International Construction Specialty Conference, 2017
262017
Ten questions concerning reinforcement learning for building energy management
Z Nagy, G Henze, S Dey, J Arroyo, L Helsen, X Zhang, B Chen, ...
Building and Environment 241, 110435, 2023
242023
Occupants’ Perceptions about Indoor Environment Comfort and Energy Related Values in Commercial and Residential Buildings
Z Zhao, K Amasyali, R Chamoun, N El-Gohary
Procedia Environmental Sciences 34, 631-640, 2016
172016
Deep Reinforcement Learning for Autonomous Water Heater Control
K Amasyali, J Munk, K Kurte, T Kuruganti, H Zandi
Buildings 11 (11), 548, 2021
162021
Hierarchical Model-Free Transactional Control of Building Loads to Support Grid Services
K Amasyali, Y Chen, B Telsang, M Olama, SM Djouadi
IEEE Access 8, 219367-219377, 2020
162020
Hybrid approach for energy consumption prediction: Coupling data-driven and physical approaches
K Amasyali, N El-Gohary
Energy and Buildings 259, 111758, 2022
152022
Methodology for Interpretable Reinforcement Learning Model for HVAC Energy Control
O Kotevska, J Munk, K Kurte, Y Du, K Amasyali, RW Smith, H Zandi
2020 IEEE International Conference on Big Data (Big Data), 1555-1564, 2020
142020
Predicting energy consumption of office buildings: a hybrid machine learning-based approach
K Amasyali, N El-Gohary
Advances in Informatics and Computing in Civil and Construction Engineering …, 2019
102019
Comparative analysis of model-free and model-based HVAC control for residential demand response
K Kurte, K Amasyali, J Munk, H Zandi
Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021
92021
A Machine Learning-based Approach to Predict the Aggregate Flexibility of HVAC Systems
K Amasyali, M Olama, A Perumalla
2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020
92020
Power allocation by load aggregator with heterogeneous loads using weighted projection
B Telsang, K Amasyali, Y Chen, M Olama, S Djouadi
Energy and Buildings 244, 110955, 2021
82021
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