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