AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
[HTML][HTML] Enhancing building energy efficiency using a random forest model: A hybrid prediction approach
The building envelope considerably influences building energy consumption. To enhance
the energy efficiency of buildings, this paper proposes an approach to predict building …
the energy efficiency of buildings, this paper proposes an approach to predict building …
Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads
Buildings are one of the significant sources of energy consumption and greenhouse gas
emission in urban areas all over the world. Lighting control and building integrated …
emission in urban areas all over the world. Lighting control and building integrated …
Proposing a hybrid metaheuristic optimization algorithm and machine learning model for energy use forecast in non-residential buildings
The building sector is the largest energy consumer accounting for 40% of global energy
usage. An energy forecast model supports decision-makers to manage electric utility …
usage. An energy forecast model supports decision-makers to manage electric utility …
[HTML][HTML] A combined model for short-term wind power forecasting based on the analysis of numerical weather prediction data
B He, L Ye, M Pei, P Lu, B Dai, Z Li, K Wang - Energy Reports, 2022 - Elsevier
Due to the fluctuation and intermittency of wind power resources, large-scale wind power
integration brings serious challenges to power systems. Among the existing short-term …
integration brings serious challenges to power systems. Among the existing short-term …
Stress fusion evaluation modeling and verification based on non-invasive blood glucose biosensors for live fish waterless transportation
Y Zhang, X Xiao, H Feng, MA Nikitina… - … in Sustainable Food …, 2023 - frontiersin.org
Non-invasive blood glucose level (BGL) evaluation technology in skin mucus is a wearable
stress-detection means to indicate the health status of live fish for compensating the …
stress-detection means to indicate the health status of live fish for compensating the …
A similarity based hybrid GWO-SVM method of power system load forecasting for regional special event days in anomalous load situations in Assam, India
M Barman, NBD Choudhury - Sustainable Cities and Society, 2020 - Elsevier
This paper offers a novel method of power system load forecasting (PSLF) for regional
special event days (RSEDs) when the load demand is highly prejudiced by societal …
special event days (RSEDs) when the load demand is highly prejudiced by societal …
An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation
As an irreplaceable power source, electricity is responsible for sustaining the national
economy and social development, and the precondition for the power system's stable …
economy and social development, and the precondition for the power system's stable …
Prediction of electrical energy consumption based on machine learning technique
R Banik, P Das, S Ray, A Biswas - Electrical engineering, 2021 - Springer
The forecast of electricity demand in recent years is becoming increasingly relevant because
of market deregulation and the introduction of renewable resources. To meet the emerging …
of market deregulation and the introduction of renewable resources. To meet the emerging …
Reconstituted data-driven air conditioning energy consumption prediction system employing occupant-orientated probability model as input and swarm intelligence …
C Zhang, L Ma, X Han, T Zhao - Energy, 2024 - Elsevier
With recent energy and environmental crises, the energy consumption prediction of air
conditioning (AC) is essential. Notably, existing general prediction systems use the air …
conditioning (AC) is essential. Notably, existing general prediction systems use the air …