Journal of Energy Systems最新文献_第8页

A statistical and predictive modeling study to analyze impact of seasons and covid-19 factors on household electricity consumption 分析季节和新冠肺炎因素对家庭用电量影响的统计和预测模型研究

Journal of Energy Systems Pub Date : 2021-11-01 DOI: 10.30521/jes.933674

G. S. Ramnath, H. R.

{"title":"A statistical and predictive modeling study to analyze impact of seasons and covid-19 factors on household electricity consumption","authors":"G. S. Ramnath, H. R.","doi":"10.30521/jes.933674","DOIUrl":"https://doi.org/10.30521/jes.933674","url":null,"abstract":"Load is dynamic in nature and changing from aggregated load to disaggregated loads. Hence, need to analyze individual household’s energy consumption pattern. Many factors are contributing to household electricity consumption (HEC). The most influencing factor is the end user’s behavioral aspect. The calendar and seasonal factors are directly affecting user’s behavior activities. This paper consists of two aim, first aim is to validate the performance of traditional predictive models and second aim is to identify the best-fitted predictive model from five predictive models namely: Random Forest, Linear Regression, Support Vector Machine, Neural Network (NN) and Adaptive Boosting. The orange tool is used to simulate the predictive models. The JASP tool is used for statistical analysis of the dataset. From the predictive modeling study, the NN model is the most fitted model. The values of the performance matrix parameter like MSE, RMSE and MAE of the NN model is observed to be 0.558, 0.747 and 0.562 respectively. This study gives insights to researchers and utility companies about traditional predictive models that can predict the HEC under anomaly situations like Covid-19. This study also helps the researchers in using Orange and JASP tool to perform the statistical and predictive modeling. © 2021 Published by peer-reviewed open access scientific journal.","PeriodicalId":52308,"journal":{"name":"Journal of Energy Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44859639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Comparative analysis of dynamic pricing schemes in distributed energy management of residential users in smart grid 智能电网中住宅用户分布式能源管理动态定价方案的比较分析

Journal of Energy Systems Pub Date : 2021-10-25 DOI: 10.30521/jes.973307

Monika Gaba, S. Chanana

引用次数: 0

Bio-energy characteristics of black pine (Pinus nigra Arn.) hydrodistillation waste products 黑松（Pinus nigra Arn.）加氢蒸馏废弃物的生物能源特性

Journal of Energy Systems Pub Date : 2021-10-25 DOI: 10.30521/jes.962474

H. Fidan, S. Stankov, N. Petkova, B. Bozadzhiev, M. Dimov, L. Lazarov, A. Simitchiev, A. Stoyanova

引用次数: 1

R1234yf and R744 as alternatives to R134a at mobile air conditioners R1234yf和R744作为移动空调R134a的替代品

Journal of Energy Systems Pub Date : 2021-10-25 DOI: 10.30521/jes.949753

C. Onan, Serkan Erdem

{"title":"R1234yf and R744 as alternatives to R134a at mobile air conditioners","authors":"C. Onan, Serkan Erdem","doi":"10.30521/jes.949753","DOIUrl":"https://doi.org/10.30521/jes.949753","url":null,"abstract":": R1234yf is a synthetic HFO refrigerant co-developed as a replacement refrigerant for R134a in automotive air conditioning applications. Thus, in this study, alternatives to the R134a refrigerant that were removed from the newly produced devices were examined. The performance of the cooling processes of R1234yf and R744 refrigerant gases was compared with that of R134a. A simulation model was first developed. This simulation model was validated with experimental results. Analysis was conducted for both cooling and heating modes. In the case of cooling, evaporation temperature was 5 °C–7.5 °C, condenser, or gas cooler outlet temperature was 35 °C– 50 °C and the cooling load was 10 kW. In heating mode, evaporation temperature was −4 °C–12 °C, condenser, or gas cooler outlet temperature was 45 °C–50 °C and the heating load was 13.5 kW. The results were analyzed in terms of the coefficient of performance (COP), compressor power consumption, and compressor discharge temperature. In terms of COP and compressor power consumption, R134a gave the best results in all cases. R1234yf gave the closest results to R134a. In terms of compressor discharge temperature, which affects the lifetime and lubrication quality of the compressor, R1234yf gave the lowest temperatures in all cases.","PeriodicalId":52308,"journal":{"name":"Journal of Energy Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70077236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting Cost of Farm-based Biogas Plants 预测农场沼气厂的成本

Journal of Energy Systems Pub Date : 2021-10-18 DOI: 10.30521/jes.980467

Arash SAMİZADEH MASHHADİ, N. Saady, Carlos Bazan

引用次数: 0

On Minimization of the Group Variability of Intermittent Renewable Generators 间歇式可再生能源发电机组群变率最小化研究

Journal of Energy Systems Pub Date : 2021-10-15 DOI: 10.30521/jes.943813

D. Sabolic

引用次数: 0

Techno-economic analysis of a transmission line between an island grid and a mainland grid 岛网与大陆网之间输电线路的技术经济分析

Journal of Energy Systems Pub Date : 2021-09-30 DOI: 10.30521/jes.838784

B. Dinc, M. Fahrioglu, C. Batunlu