An Improved Non-Schedulable Load Forecasting Strategy for Enhancing the Performance of the Energy Management in a Nearly Zero Energy Building

Jabbour, Nikolaos; Tsioumas, Evangelos; Papagiannis, Dimitrios; Koseoglou, Markos; Mademlis, Christos

doi:10.1109/access.2021.3126900

Cited by 3 publications

(1 citation statement)

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“…Jabbour et al in Ref. [9] considered the correlation indicators such as energy consumption, weather, temperature, humidity and outdoor irradiance, and used the supervised spectral clustering method to improve the performance of nZEB load forecasting. However, such methods did not necessarily improve the performance, and in some cases, they may also cause a decline in the forecasting performance.…”

Section: Introductionmentioning

confidence: 99%

Low‐carbon operation method of the building based on dynamic carbon emission factor of power system

Chen

Gan

et al. 2022

IET Smart Grid

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Energy conservation and carbon reduction in building energy is an important way to achieve the global goal of ‘carbon neutrality’. Common low‐carbon operation strategies of buildings rely on price incentives to guide users’ behaviour, which is difficult to make users aware of the impact of their energy consumption behaviour on carbon emissions. In this paper, the power system's dynamic carbon emission factors (CEF) were used to release information on energy consumption and carbon emission to building users. At the same time, the differential effects of building envelope and external temperature in the Building Information Modelling were considered. An optimisation method of building low‐carbon energy consumption strategy considering both the building and power carbon emission was established to improve the comprehensive carbon reduction ability of the building and power system. The simulation results show that the proposed method effectively coordinates the building virtual energy storage and demand response. By incorporating the dynamic energy carbon transaction cost into the objective function, the target signal of carbon reduction is transmitted to users so that the volatility of the renewable Energy and other random energy behaviours can be considered in the dynamic CEF.

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Section: Introductionmentioning

confidence: 99%