Electric Cooperative Power Consumption Forecasting, Decision Support System and Mapping

2021 ◽  
Vol 10 (1) ◽  
pp. 1-7
Keyword(s):  
Power Consumption ◽  
Social Life ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Electrical Energy ◽  
Well Being ◽  
Series Data ◽  
Managerial Decision ◽  
Statistical Tool ◽  
Clustering And Classification

Electricity is one of the basic needs and it plays an important role in the community in the social and economic development. It is an essential part of our daily lives as well as electrical energy promotes economic well-being and make social life worthwhile. Most electric cooperative encounters difficulty in monitoring the power consumption in their vicinity due to limited number of field personnel. The researcher observed that there is a need for a study on the prediction ofelectric consumption for Nueva Vizcaya Electric Cooperative (NUVELCO) to establish the trend of future consumption. This study also serve basis in managerial decision making (DSS) such as; advisory to the staff for power line clearing, household inspection, and additional transformer, additional purchased of energy. This paper uses two methods, descriptive research and developmental research to analyzed present data. A Correlation Analysis and Linear Regression Analysis is used between temperature and power consumption, precipitation and electric consumption. This statistical tool is used for prediction for analyzing time series data. The researcher derived power consumption differential equation or models which can be used to determine the growth of the electrical energy consumption. Discriminant Analysis is used in Clustering and classification of a set of observations into subsets in mapping the municipalities of the possible rise and fall of power consumption.

scholarly journals Pengaruh Rasio Kinerja Bank Terhadap Profitabilitas Industri Bank Umum Syariah di Indonesia

2019 ◽  
Vol 5 (3) ◽  
pp. 217
Author(s):  
Felix Efendy ◽  
Salman Fathoni
Keyword(s):  
Commercial Bank ◽  
Financial Services ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Secondary Data ◽  
Series Data ◽  
Return On Assets ◽  
Statistical Tool ◽  
Negative Effect ◽  
Positive Effect

The purpose of this study was to determine and analyze the effect of the level of bank health ratios measured by BOPO, FDR and NPF on increasing the profitability of the Sharia Commercial Bank industry in Indonesia, which is proxied by ROA. The data used in this study are secondary data including operational efficiency (BOPO), liquidity (FDR), Non Performing Finance (NPF) and Return On Assets (ROA) in the sharia commercial bank industry registered at Bank Indonesia. The data is a monthly time series data from 2015-2018 obtained through the official sharia banking statistics website, Financial Services Authority (https://www.ojk.go.id). To analyze it, researchers used a multiple linear regression model with statistical tool software EViews 9. From the observations and analysis of the data that has been done, the conclusions in this study are the BOPO, FDR and NPF on ROA which is an indicator of the Bank's health to measure profitability has a high relationship . The BOPO variable partially has a significant negative effect on profitability (ROA). FDR partially has a negative and significant effect on ROA. NPF partially has no positive effect on profitability.

scholarly journals PENGARUH EKUIVALEN RATE BAGI HASIL, TINGKAT SUKU BUNGA DEPOSITO BPR DAN JUMLAH KANTOR BPRS TERHADAP JUMLAH NASABAH DEPOSITO iB MUDHARABAH PADA BPRS DI INDONESIA PERIODE 2016-2018

2019 ◽  
Vol 3 (2) ◽  
pp. 124-139
Author(s):  
Juliana Putri ◽  
Salman Alfarisi
Keyword(s):  
Interest Rates ◽  
Time Series Data ◽  
Predictive Analytics ◽  
Linear Regression Analysis ◽  
Profit Sharing ◽  
Variable Number ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Equivalent Rate ◽  
Rate Of Profit

This study aims to determine the effect of the equivalent rate of profit sharing, interest rates on BPR deposits and the number of BPRS Offices on the number of mudharabah iB deposit customers at BPRS in Indonesia. The research method used is quantitative descriptive research using secondary data in the form of financial reports published by OJK in Sharia Banking Statistics (SPS) and Indonesian Banking Statistics (SPI) with time series data in the period of 2016-2018. The sample in this study all BPRS in Indonesia is 168 BPRS. Analysis of research using multiple linear regression analysis using application or supporting software namely PASW (Predictive Analytics SoftWare) Statistics 18, the results of research, it can be concluded that: 1) Equivalent rate of profit sharing (X1) has a significant negative effect of iB mudharabah deposit customers, 2) Variable interest rates on BPR deposits (X2) do not affect the number of mudharabah iB deposit customers. 3) The variable number of BPRS offices (X3) has a significant positive effect on the number of mudharabah iB deposit customers. 4) The coefficient of determination obtained is 0.586 or 58.6%. which means that 58.6% causes variable variable number of iB mudharabah (Y) deposit customers can be influenced by the equivalent rate of profit sharing, the level of BPR deposit rates and the number of BPRS offices, while the remaining 41.4% is influenced by other factors not included in the study.

Visual network analysis of the Baidu-index data on greenhouse gas

2021 ◽  
pp. 2150115
Author(s):  
Xueyan Zhu ◽  
Chengyi Xia
Keyword(s):  
Time Series ◽  
Network Analysis ◽  
Greenhouse Gas ◽  
Time Series Data ◽  
Current Model ◽  
Series Data ◽  
Power Law Distribution ◽  
Statistical Tool ◽  
Index Data ◽  
Internet Users

Baidu search engine is the most common one adopted by Chinese Internet users, and Baidu index provides a platform to capture the behaviors of massive users on Baidu, which is one important statistical tool to mine the Internet users’ behaviors and characteristics in China. Here, we utilize the Baidu index data on greenhouse gas from January 1, 2011 to November 29, 2019, to perform the related statistical analyses at first. Then, on the basis of Baidu index time series data, the corresponding network is constructed by use of the visibility graph method. Finally, the topology of the generated network is analyzed from different perspectives. Our results indicate that people’s attention to greenhouse gases obeys the power-law distribution, and we can identify the significant nodes and find some outliers in time series data by use of the topological properties of networks. Taking together, the current model offers a novel means to represent and depict the time series data of Baidu index through the complex network analysis.

scholarly journals Suicide Research and Adolescent Suicide Trends in New Zealand

2008 ◽  
Vol 8 ◽  
pp. 287-302 ◽  
Author(s):  
Said Shahtahmasebi
Keyword(s):  
Time Series ◽  
New Zealand ◽  
Adolescent Suicide ◽  
Time Series Data ◽  
Current Knowledge ◽  
Medical Model ◽  
Well Being ◽  
Young Person ◽  
Series Data ◽  
International Experts

In recent years, there have been a number of claims and counterclaims from suicide research using time series and longitudinal data; in particular, the linkage of increased antidepressant prescriptions to a decrease in suicide rates. Suicide time series appear to have a memory compounded with seasonal and cyclic effects. Failure to take into account these properties may lead to misleading conclusions, e.g., a downward blip is interpreted as the result of current knowledge and public health policies, while an upward blip is explained as suicide being complex depending on many variables requiring further research. In previous publications, I argued that this misuse of time series data is the result of an uncritical acceptance of a medical model that links mental ill-health to suicide. The consequences of such research behaviour are further increases in antidepressant prescriptions and medications to those who should not be prescribed them, with adverse effects showing across the population, e.g., the prescription of antidepressants to very young children (some under 1 year of age) in New Zealand. Moreover, the New Zealand Evidence-based Health Care Bulletin recommends an authoritarian approach for every interaction with a young person to check their psychosocial well-being. When viewed holistically, this kind of human behaviour makes researchers, policy makers (politicians), treatment, and practitioners, and society in general part of the problem rather than the solution. This paper explores some dynamic aspects of suicide, using only official data with particular reference to youth suicide, and suggests that the medical model of suicide is only an attempt to treat depression without addressing suicide, and recommends the creation of a unified database through understanding the society that individuals live in. It is hoped that this paper will stimulate debate and the collaboration of international experts regardless of their school of thought.

scholarly journals Investment in Agriculture and Extractive Industry: A Panacea for National Development

2020 ◽  
Vol 11 (1) ◽  
pp. 34
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Kabiru Isa Dandago
Keyword(s):  
Natural Gas ◽  
Time Series Data ◽  
Positive Impact ◽  
National Development ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Crude Petroleum ◽  
Economic Diversification ◽  
Statistical Tool ◽  
Extractive Industry

Economic diversification into agriculture and extractive industry in Nigeria has been a fascinating and crucial economic issue that deserves consideration especially as the country is shifting from mono-economy (caused by oil boom) to other viable economic sectors. The global economic meltdown and depression have stimulated countries to look into other sectors of the economy in order to enhance their national development. Hence, this study tries to examine the contribution of agriculture and extractive industry to the Nigeria’s real gross domestic product (RGDP). The study makes use of time series data gathered from CBN Statistical Bulletin ranging from 1981-2017 and employs Ordinary Least Squares (OLS) method as the statistical tool with the aid of e-views version 9. The findings reveal that agriculture has a robust and noteworthy positive impact on RGDP while the solid mineral equally has a substantial positive influence on RGDP. However, crude petroleum (proxy for crude petroleum & natural gas) has a positive inconsequential effect on RGDP. This brings the study to a conclusion that investment in agriculture and solid minerals is highly imperative at the moment. Therefore, the study has suggested that economic diversification should be focused more on agriculture and solid mineral extraction. In addition, the government should try to manage the crude petroleum and natural gas exploration so as to prevent fund repatriation and transfer to other countries due to borrowed technology.

The impact of Benin’s first public procurement code and its amendment on healthcare equipment acquisition prices

2018 ◽  
Vol 18 (4) ◽  
pp. 306-322 ◽  
Author(s):  
Pamphile Thierry Houngbo ◽  
Maikel Kishna ◽  
Marjolein Zweekhorst ◽  
Daton Medenou ◽  
Joske G.F. Bunder-Aelen
Keyword(s):  
Health Care ◽  
Time Series Data ◽  
Good Governance ◽  
Public Procurement ◽  
Linear Regression Analysis ◽  
Interrupted Time Series ◽  
Series Data ◽  
Content Type ◽  
The Impact ◽  
Health Care Equipment

PurposeTo satisfy donors and reduce public procurement acquisition prices, Benin has implemented and amended its first public procurement code guided by top-down principles of good governance.Design/methodology/approachThis study aims to measure the impact of the code and its amendment on public procurement acquisition prices of health-care equipment from 1995 to 2010.FindingsA segmented linear regression analysis was performed using interrupted time-series data. The analysis shows that the code and its amendment did not reduce acquisition prices, indicating the limited impact of the code. The authors recommend the implementation of bottom-up processes in establishing the public procurement system, and the development of a reference pricelist of the most widely used health-care equipment, as possible solutions for improving the effectiveness of the code.

scholarly journals Interaction of Electrical Energy Storage, Flexible Bioenergy Plants and System-friendly Renewables in Wind- or Solar PV-dominated Regions

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1133 ◽  
Author(s):  
Philip Tafarte ◽  
Annedore Kanngießer ◽  
Martin Dotzauer ◽  
Benedikt Meyer ◽  
Anna Grevé ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Supply ◽  
Time Series Data ◽  
Electrical Energy ◽  
Series Data ◽  
Optimization Approach ◽  
Solar Pv ◽  
Electrical Energy Storage ◽  
Renewable Power ◽  
Generation Capacity

Wind and solar PV have become the lowest-cost alternatives for power generation in many countries and are expected to dominate the renewable power supply in many regions of the world. The temporal volatility in power production from these sources leads to new challenges for a stable and secure power supply system. Possible technologies to improve the integration of wind and solar PV are electrical energy storage and the flexible power provision by bioenergy. A third option is the system-friendly layout of wind and solar PV systems and the optimized mix of wind and solar PV capacities. To assess these different options at hand, a case study was conducted covering various scenarios for a regional power supply based on a high share of wind and solar PV. State-of-the-art concepts for all the stated technologies are modelled and a numerical optimization approach is applied on temporally-resolved time series data to identify the potential role of each option and their respective interactions. Power storage was found to be most relevant in solar dominated systems, due to the diurnal generation pattern, whereas bioenergy is more suitably combined with high wind power shares due to the less regular generation pattern. System-friendly wind and solar power can reduce the need for generation capacity and flexible options by fitting generation and demand patterns better.

Power Consumption Forecasting Scheme for Educational Institutions Based on Analysis of Similar Time Series Data

2017 ◽  
Vol 44 (9) ◽  
pp. 954-965 ◽  
Author(s):  
Jihoon Moon ◽  
Jinwoong Park ◽  
Sanghoon Han ◽  
Eenjun Hwang
Keyword(s):  
Time Series ◽  
Power Consumption ◽  
Time Series Data ◽  
Series Data ◽  
Educational Institutions ◽  
Similar Time

Measuring electric energy efficiency in Portuguese households

2015 ◽  
Vol 26 (3) ◽  
pp. 407-422 ◽  
Author(s):  
Thomas Weyman-Jones ◽  
Júlia Mendonça Boucinha ◽  
Catarina Feteira Inácio
Keyword(s):  
Time Series ◽  
Energy Efficiency ◽  
Energy Demand ◽  
Energy Use ◽  
Time Series Data ◽  
Electric Energy ◽  
Electrical Energy ◽  
Series Data ◽  
Data Set ◽  
Content Type

Purpose – There is a great interest from the European Union in measuring the efficiency of energy use in households, and this is an area where EDP has done research in both data collection and methodology. This paper reports on a survey of electric energy use in Portuguese households, and reviews and extends the analysis of how efficiently households use electrical energy. The purpose of this paper is to evaluate household electrical energy efficiency in different regions using econometric analysis of the survey data. In addition, the same methodology was applied to a time-series data set, to evaluate recent developments in energy efficiency. Design/methodology/approach – The paper describes the application to Portuguese households of a new approach to evaluate energy efficiency, developed by Filippini and Hunt (2011, 2012) in which an econometric energy demand model was estimated to control for exogenous variables determining energy demand. The variation in energy efficiency over time and space could then be estimated by applying econometric efficiency analysis to determine the variation in energy efficiency. Findings – The results obtained allowed the identification of priority regions and consumer bands to reduce inefficiency in electricity consumption. The time-series data set shows that the expected electricity savings from the efficiency measures recently introduced by official authorities were fully realized. Research limitations/implications – This approach gives some guidance on how to introduce electricity saving measures in a more cost effective way. Originality/value – This paper outlines a new procedure for developing useful tools for modelling energy efficiency.

scholarly journals Pengaruh diferensiasi produk terhadap volume penjualan pada home industri “Jenang Mirah” Josari Ponorogo

2017 ◽  
Vol 5 (1) ◽  
pp. 81
Author(s):  
Pega Saputra
Keyword(s):  
Interest Rate ◽  
Time Series Data ◽  
Alternative Hypothesis ◽  
Linear Regression Analysis ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Simple Linear Regression ◽  
The Interest Rate ◽  
Descriptive Method

<p><em>This study describes the influence of SBI interest rate on the rupiah at Bank Indonesia studies. The method in this research is descriptive method with quantitative approach. Determination of the sample is based on time series data 2009-2015 period by using saturation sampling methods as many as 84 samples. This research was conducted at Bank Indonesia has the sole purpose of achieving and maintaining stability in the rupiah. This study uses simple linear regression analysis which includes the classical assumption and hypothesis testing in the form of the coefficient of determination (r</em><em>2</em><em>) and the partial test (t test). The results showed that the interest rate significantly influence the exchange rate. that the null hypothesis is rejected and the alternative hypothesis is accepted.</em></p>

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