In another work, thermal imaging sensors have been implemented alongside machine learning algorithms to estimate the occupant numbers24. However, these thermal imaging sensors may suffer from long-term drifts an
The authors used a random forest model to estimate building height at continental scale. However, the coarse resolution of 1 km made it impossible to discern height differences in various building structures. Both resolution and scale were improved by the GHSL-Built-H R2023A (Pesaresi and Polit...
Ene08 One credit: Identify the building’s unregulated energy consuming loads and, for each estimate or model, its contribution to the total unregulated energy consumption of the building, assuming a typical/standard specification. One credit: Identification of the building’s unregulated energy consumi...
good mix of data in your backup stream, splitting the difference between the two extremes will probably yield a valid estimate. I've seen a solid 27GB per tape on a 15/30 DLT when backing up standard file server data: Word documents, Excel spreadsheets, Dilbert" cartoon archives, and ...
In order to estimate plausible MI ranges for each region and building type, each of the 384 possible function-structure-region combinations per material require a minimum pool of 30 MI value datapoints (we discuss the choice of 30 in the technical validation section). For combinations that do ...
(2019) introduced an energy breakdown technique using smart meter data and semi-binary nonnegative matrix factorization (SBNMF) to estimate individual appliance power consumption without additional sensors. To enhance SBNMF accuracy, the authors proposed three model assumptions and developed appliance-...
The research concluded that the BIM-assisted estimate demonstrated better performance over traditional estimating methods. Both the visualization and aggregation functions of the BADE tool had significant impact on the performance of the detailed estimate.Sherif Mohamed Hafez...
[84] utilized a comprehensive methodology suite comprising principal component analysis, multilayer perceptron neural networks, support vector machines, and random forest algorithms to devise a predictive regression model, to accurately estimate the lifecycle carbon dioxide emissions associated with a given ...
With a proper building plan, owners can estimate the time required for the construction of the building and the project cost, including the cost of materials. A building plan is an essential document needed to get legal permission to start a building project. Architects and engineers use ...
Architects can use BIM software to estimate the cost of items such as construction materials, shipping of fabricated materials, and labor. Cost estimates also help architects in knowing which areas they need to revisit in order to save or meet the specified project budget. Improves communication. ...