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 …
remains the largest energy source consumed by buildings, and that demand is growing. To …
A review of data-driven approaches for prediction and classification of building energy consumption
A recent surge of interest in building energy consumption has generated a tremendous
amount of energy data, which boosts the data-driven algorithms for broad application …
amount of energy data, which boosts the data-driven algorithms for broad application …
Data acquisition for urban building energy modeling: A review
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …
applications. Its generation mainly requires four data inputs, including geometric data, non …
A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction
Demand-side management, a new development in smart grid technology, has enabled
communication between energy suppliers and consumers. Demand side energy …
communication between energy suppliers and consumers. Demand side energy …
A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review
Energy consumption models play an integral part in energy management and conservation,
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …
as it pertains to buildings. It can assist in evaluating building energy efficiency, in carrying …
A review on machine learning forecasting growth trends and their real-time applications in different energy systems
T Ahmad, H Chen - Sustainable Cities and Society, 2020 - Elsevier
Energy forecasting and planning play an important role in energy sector development and
policy formulation. The forecasting model selection mostly based on the availability of the …
policy formulation. The forecasting model selection mostly based on the availability of the …
[HTML][HTML] Cluster analysis and prediction of residential peak demand profiles using occupant activity data
Researching the dynamics of residential electricity consumption at finely-resolved
timescales is increasingly practical with the growing availability of high-resolution data and …
timescales is increasingly practical with the growing availability of high-resolution data and …
Evaluating energy performance in non-domestic buildings: A review
EH Borgstein, R Lamberts, JLM Hensen - Energy and buildings, 2016 - Elsevier
Abstract Evaluation methods can be used to determine what constitutes good energy
performance in a building. With an increasing focus on energy use of buildings worldwide …
performance in a building. With an increasing focus on energy use of buildings worldwide …
Identification of typical building daily electricity usage profiles using Gaussian mixture model-based clustering and hierarchical clustering
This paper presents a clustering-based strategy to identify typical daily electricity usage
(TDEU) profiles of multiple buildings. Different from the majority of existing clustering …
(TDEU) profiles of multiple buildings. Different from the majority of existing clustering …
[HTML][HTML] Development of electricity consumption profiles of residential buildings based on smart meter data clustering
In the present research, a high-resolution, detailed electric load dataset was assessed,
collected by smart meters from nearly a thousand households in Hungary, many of them …
collected by smart meters from nearly a thousand households in Hungary, many of them …