Buildings Energy Efficiency Analysis and Classification Using Various Machine Learning Technique Classifiers

Benavente-Peces, César; Ibadah, Nisrine

doi:10.3390/en13133497

Cited by 32 publications

(29 citation statements)

References 18 publications

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“…Optimal integration and other economic considerations like hydrogen-based energy storage systems were discussed by Serra et al [35]. Benavente-Peces et al [38] analysed energy efficiency and classification of energy usage in various sectors. Revenues and impacts of invest-ment costs were discussed by Zhang et al [42].…”

Section: Methodsmentioning

confidence: 99%

“…To ensure energy security is the first aim of the 2016 IEP, to make sure that South Africa is not short of energy supply within the time frame [37]. To achieve this target, broader consultations were made between the energy and the economic sectors, such as commerce, transport, industry, agriculture, and residential [38]. Each sector was mandated to provide the policy planners with a breakdown of energy consumed in 2010 on cooling, heating, pumping, petrol, electricity, gas, and coal.…”

Section: Demand and Supply Energy Forecast And Analysis 91 Demandmentioning

confidence: 99%

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South Africa’s integrated energy planning framework, 2015–2050

Akom

Shongwe

Joseph

2021

J. energy South. Afr.

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The Integrated Energy Plan (IEP) was designed to consider South Africa’s energy needs from 2015 to 2050, as a guide for energy structural savings and the development of energy policy. The main aim of the Department of Energy is to ensure the security of energy supply. The current energy situation in the country has its gains and challenges. With the growing population and infrastructural development, the country requires prudent measures to meet the country’s energy needs for 2020–2050. The country’s energy is currently dominated by coal-fired plants, which represent about 70% of the total installed capacity, crude oil contributes about 21%, with only 9% from all other energy sources, including renewables. This paper examines the scope of the IEP framework, key objectives of the IEP, the methodology applied to achieve those objectives, and the projections made for attaining the framework target. The paper further reviews the energy requirements for the key sectors of the economy and analyses the effects of CO2 emissions and the benefits of job creation for the entire period. Despite substantial renewable potential in South Africa, at present it contributes as little as 2% of the energy mix. The global renewable energy policy on CO2 emissions reduction, improvement of energy efficiency and deployment of renewable development are not met in the IEP framework.

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Section: Methodsmentioning

confidence: 99%

Section: Demand and Supply Energy Forecast And Analysis 91 Demandmentioning

confidence: 99%

South Africa’s integrated energy planning framework, 2015–2050

Akom

Shongwe

Joseph

2021

J. energy South. Afr.

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“…As a result, improvement in the insulation properties of all the components of the building envelope will result in both increased comfort of the indoor thermal environment and improved energy efficiency levels for rural residential buildings during the winter season. The energy efficiency levels can be further examined using machine learning techniques [54].…”

Section: Improvements Of Energy Efficiency Standardsmentioning

confidence: 99%

Energy Sustainability of Rural Residential Buildings with Bio-Based Building Fabric in Northeast China

Yin

Dong

et al. 2020

Energies

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Due to the cold winters in northeast China, the energy consumption of the rural residential buildings is much higher in this region than in other regions. In this study, the energy sustainability of bio-based wall construction is examined through applications in rural residential buildings. Comparisons of the energy sustainability of the bio-based wall constructions and the conventional wall constructions are evaluated using IESVE-2019 computational simulation. The results show notable reductions in heating energy requirements and coal use, which is the major heating source for rural residential buildings in China. The results show that reductions of 45.82–204.07 kWh/m2/year in heating energy requirements and more than 40% in coal use are possible through application of bio-based wall constructions. The application of bio-based wall construction will result in lower seasonal air pollution and coal use through straw burning in northeast China.

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“…These results indicate that air-conditioning and lighting sockets in public buildings play an important role in building energy consumption, of which operation characteristics are worthy of special attention. Benavente-Peces et al used various machine learning technique classifiers to analyze and classify building energy efficiency, and they demonstrated that reliable classification is feasible with a few featured parameters [6]. Suzane A. Monteiro et al developed a methodology of energy efficiency for lighting and air-conditioning systems in buildings using a multi-objective optimization algorithm [7].…”

Section: Introductionmentioning

confidence: 99%

“…From the literature [1][2][3][4][5][6][7], we can discover the necessity of building energy efficiency, especially for public buildings. Therefore, how to use energy consumption data in monitoring platform is important, such as studying human behavior for an energy retrofit shown in the literature [8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Online Methodology for Separating the Power Consumption of Lighting Sockets and Air-Conditioning in Public Buildings Based on an Outdoor Temperature Partition Model and Historical Energy Consumption Data

Zhao¹,

Zhang²,

Ujeed³

et al. 2021

Applied Sciences

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Among sub-items of energy consumption in public buildings, lighting sockets play an important role in energy-saving analysis. So, the energy consumption data quality of lighting sockets is important. However, limited by the initial cost of energy monitoring platform, it is difficult to install electricity meters covering all branches and to retrofit the incompact classification electricity branches, which results in a mixture of the lighting socket energy consumption and other components. In this study, a separation methodology is proposed. First, the abnormal data in the energy monitoring platform are cleaned and screened using a clustering algorithm. Second, the average outdoor air temperature partitioning model (OATPM) method and the k-nearest neighbor (KNN) clustering algorithm method are proposed for identifying and separating the abnormal data. These two methods have complementary advantages in the best applicable scenarios, including calculation accuracy and other aspects. The verification results for three buildings show that the relative error of this separation methodology is less than 15%. Finally, this paper presents the optimization parameters of the KNN method. Through this methodology, building managers need only historical data in an energy monitoring platform to separate the combined power consumption of the lighting sockets and air-conditioning online, independent of detailed information statistics.

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Buildings Energy Efficiency Analysis and Classification Using Various Machine Learning Technique Classifiers

Cited by 32 publications

References 18 publications

South Africa’s integrated energy planning framework, 2015–2050

South Africa’s integrated energy planning framework, 2015–2050

Energy Sustainability of Rural Residential Buildings with Bio-Based Building Fabric in Northeast China

Online Methodology for Separating the Power Consumption of Lighting Sockets and Air-Conditioning in Public Buildings Based on an Outdoor Temperature Partition Model and Historical Energy Consumption Data

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