Fault detection and efficiency assessment for hvac systems using non-intrusive load monitoring: A review

A Rafati, HR Shaker, S Ghahghahzadeh - Energies, 2022 - mdpi.com
Heat, ventilation, and air conditioning (HVAC) systems are some of the most energy-
intensive equipment in buildings and their faulty or inefficient operation can significantly …

Energy management in smart buildings and homes: current approaches, a hypothetical solution, and open issues and challenges

U Mir, U Abbasi, T Mir, S Kanwal, S Alamri - IEEE Access, 2021 - ieeexplore.ieee.org
Energy plays a pivotal role for economic development of a country. A reliable energy source
is needed to improve the living standards of people. To achieve such a goal, governments …

Deep learning-based short-term load forecasting approach in smart grid with clustering and consumption pattern recognition

D Syed, H Abu-Rub, A Ghrayeb, SS Refaat… - IEEE …, 2021 - ieeexplore.ieee.org
Different aggregation levels of the electric grid's big data can be helpful to develop highly
accurate deep learning models for Short-term Load Forecasting (STLF) in electrical …

Impact of battery storage on residential energy consumption: An Australian case study based on smart meter data

N Al Khafaf, AA Rezaei, AM Amani, M Jalili, B McGrath… - Renewable Energy, 2022 - Elsevier
Advanced metering infrastructure has been widely recognized as a key enabling factor for
delivering a range of benefits to the electricity industry as well as to energy consumers. The …

Exploring the role of deep neural networks for post-disaster decision support

N Chaudhuri, I Bose - Decision Support Systems, 2020 - Elsevier
Disaster management operations are information intensive activities due to high uncertainty
and complex information needs. Emergency response planners need to effectively plan …

Mobile apps meet the smart energy grid: A survey on consumer engagement and machine learning applications

S Chadoulos, I Koutsopoulos, GC Polyzos - Ieee Access, 2020 - ieeexplore.ieee.org
Consumers lie at the epicenter of smart grids, since their activities account for a large portion
of the total energy demand. Therefore, utility companies, governmental agencies, and …

Beyond privacy and security: Exploring ethical issues of smart metering and non-intrusive load monitoring

A Gavorník, J Podroužek, Š Oreško, N Slosiarová… - Telematics and …, 2024 - Elsevier
Artificial intelligence is believed to facilitate cost-effective and clean energy by optimizing
consumption, reducing emissions, and enhancing grid reliability. Approaches such as non …

The design of citizen-centric green IS in sustainable smart districts

V Graf-Drasch, R Keller, O Meindl, F Röhrich - Business & Information …, 2023 - Springer
Green information systems are often praised for their potential to foster sustainability in
citizens' daily lives and meet their needs. With this focus on citizens, districts that use smart …

A data-driven approach for targeting residential customers for energy efficiency programs

H Liang, J Ma, R Sun, Y Du - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
Targeting the right customers for energy efficiency (EE) programs is crucial for the power
distribution or retail companies to enhance the efficiency of marketing budget allocation and …

Big data to the rescue? Challenges in analysing granular household electricity consumption in the United Kingdom

A Ushakova, SJ Mikhaylov - Energy research & social science, 2020 - Elsevier
Rapid growth in smart meter installations has given rise to vast collections of data at a high
time-resolution and down to an individual level. However, to enable efficient policy …