Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

A review of data-driven fault detection and diagnostics for building HVAC systems

Z Chen, Z O'Neill, J Wen, O Pradhan, T Yang, X Lu… - Applied Energy, 2023 - Elsevier
With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …

Quo vadis artificial intelligence?

Y Jiang, X Li, H Luo, S Yin, O Kaynak - Discover Artificial Intelligence, 2022 - Springer
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

Advanced controls on energy reliability, flexibility and occupant-centric control for smart and energy-efficient buildings

Z Liu, X Zhang, Y Sun, Y Zhou - Energy and Buildings, 2023 - Elsevier
Advanced controls have attracted increasing interests due to the high requirement on smart
and energy-efficient (SEE) buildings and decarbonization in the building industry with …

Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

T Ahmad, D Zhang, C Huang, H Zhang, N Dai… - Journal of Cleaner …, 2021 - Elsevier
The energy industry is at a crossroads. Digital technological developments have the
potential to change our energy supply, trade, and consumption dramatically. The new …

Machine learning and deep learning in energy systems: A review

MM Forootan, I Larki, R Zahedi, A Ahmadi - Sustainability, 2022 - mdpi.com
With population increases and a vital need for energy, energy systems play an important
and decisive role in all of the sectors of society. To accelerate the process and improve the …

Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview

AN Abdalla, MS Nazir, H Tao, S Cao, R Ji… - Journal of Energy …, 2021 - Elsevier
Energy storage technology plays a role in improving new energy consumption capacities,
ensuring the stable and economic operation of power systems, and promoting the …

A review of strategies for building energy management system: Model predictive control, demand side management, optimization, and fault detect & diagnosis

D Mariano-Hernández, L Hernández-Callejo… - Journal of Building …, 2021 - Elsevier
Building energy use is expected to grow by more than 40% in the next 20 years. Electricity
remains the largest energy source consumed by buildings, and that demand is growing. To …

Integration of IoT in building energy infrastructure: A critical review on challenges and solutions

V Moudgil, K Hewage, SA Hussain, R Sadiq - Renewable and Sustainable …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has unprecedentedly entangled the physical world with
cyber technologies and its integration with building infrastructure (BI) is no different …

A review of computing-based automated fault detection and diagnosis of heating, ventilation and air conditioning systems

J Chen, L Zhang, Y Li, Y Shi, X Gao, Y Hu - Renewable and Sustainable …, 2022 - Elsevier
Abstract Faults in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings
result in significant energy waste in building operation. With fast-growing sensing data …