| Forecasting energy use in buildings using artificial neural networks: A review J Runge, R Zmeureanu Energies 12 (17), 3254, 2019 | 212 | 2019 |
| Hybrid short-term forecasting of the electric demand of supply fans using machine learning J Runge, R Zmeureanu, M Le Cam Journal of Building Engineering 29, 101144, 2020 | 32 | 2020 |
| A comparison of prediction and forecasting artificial intelligence models to estimate the future energy demand in a district heating system J Runge, E Saloux Energy 269, 126661, 2023 | 25 | 2023 |
| Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review. Energies 2019; 12: 3254 J Runge, R Zmeureanu | 8 | |
| Performance evaluation of gas-power strategies for building energy conservation HA Gabbar, J Runge, D Bondarenko, L Bower, D Pandya, F Musharavati, ... Energy conversion and management 93, 187-196, 2015 | 7 | 2015 |
| Deep learning forecasting for electric demand applications of cooling systems in buildings J Runge, R Zmeureanu Advanced Engineering Informatics 53, 101674, 2022 | 6 | 2022 |
| Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review. Energies. 2019; 12 (17): 3254 J Runge, R Zmeureanu | 5 | 2019 |
| Operation optimization of multi-boiler district heating systems using artificial intelligence-based model predictive control: Field demonstrations E Saloux, J Runge, K Zhang Energy 285, 129524, 2023 | 4 | 2023 |
| A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings. Energies 2021, 14, 608 J Runge, R Zmeureanu s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 3 | 2021 |
| Evaluation of renewable energy deployment scenarios for building energy management. HA Gabbar, A Eldessouky, J Runge AIMS Energy 4 (5), 2016 | 3 | 2016 |
| Microinverter Systems For Energy Conservation In Infrastructures HA Gabbar, J Runge, K Sayed Energy Conservation in Residential, Commercial, and Industrial Facilities …, 2017 | 2 | 2017 |
| Short-term forecasting for the electrical demand of Heating, Ventilation, and Air Conditioning systems J Runge Concordia University, 2021 | 1 | 2021 |
| Applications of energy semantic networks HA Gabbar, A Eldessouky, J Runge Smart Energy Grid Engineering, 343-380, 2017 | 1 | 2017 |
| Design and control of resilient micro-inverter system J Runge | 1 | 2016 |
| Solar windows control system for an apartment building in Toronto with battery storage J Runge, H Gabbar The 2nd IEEE Conference on Power Engineering and Renewable Energy (ICPERE …, 2014 | 1 | 2014 |
| Field Implementation of a Predictive Control Strategy in District Heating Systems: A Tale of Two Demonstration Sites E Saloux, J Runge, K Zhang Energy Informatics Academy Conference, 314-327, 2023 | | 2023 |
| Enhancing Micro Energy Grid (MEG) Performance by Novel D‐FACTS based on GA‐ANFIS Integration HA Gabbar, AM Othman, A Zidan, J Runge, O Muneer, M Isham, M Tomal International Journal of Automation and Power Engineering 5, 17-31, 2016 | | 2016 |
| COMPARISON OF ITERATIVE-MULTISTEP-AHEAD MODELS FOR FORECASTING THE SUPPLY AIR FLOW RATE OF A HVAC SYSTEM J Runge, R Zmeureanu, M Le Cam | | |
| Forecasting the electric demand of an HVAC system with deep learning-based techniques J Runge, R Zmeureanu | | |
