The estimation of electrical energy consumption in abnormal automatic meter reading system using multiple linear regression

2013 ◽  
Author(s):  
V. Kantikoon ◽  
V. Kinnares
Keyword(s):  
Energy Consumption ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Automatic Meter Reading ◽  
Automatic Meter Reading System ◽  
Reading System

scholarly journals Peramalan Beban pada Gardu Induk Mantingan dalam Penentuan Kapasitas Transformator dengan Metode Regresi Linear

Electrician ◽  
2021 ◽  
Vol 15 (2) ◽  
pp. 64-72
Author(s):  
Jimmy Trio Putra ◽  
Nisaun Fadhilah ◽  
Muhammad Arrofiq
Keyword(s):  
Operating System ◽  
Energy Consumption ◽  
Linear Regression ◽  
Historical Data ◽  
Electrical Energy ◽  
Electric Load ◽  
Electrical Energy Consumption ◽  
Electricity Load ◽  
Current Operating

Intisari — Pertumbuhan beban kelistrikan di wilayah Ngawi dan Magetan meningkat seiring rencana pemerintah dalam membangun beberapa infrastruktur dan kawasan industri.  Penyedia kelistrikan harus mampu memprediksi kemampuan sistem dalam melayani konsumen. Perencanan pembangunan Gardu Induk (GI) memiliki tujuan dalam memastikan persebaran semua beban listrik yang dilayani dapat diakomodasi dengan baik. Penelitian ini menggunakan data historis dalam memprediksi besarnya permintaan kelistrikan di area GI Mantingan tahun 2019 hingga tahun 2026. Metode yang digunakan adalah metode regresi linear dengan perencanaan satu tahap, yaitu periode 8 tahun (jangka panjang). Hasil penelitian merekomendasikan bahwa sistem yang beroperasi saat ini membutuhkan persebaran beban listrik dengan memindahkan tiga penyulang di GI Magetan dan GI Ngawi ke GI Mantingan. Tiga penyulang tersebut yaitu penyulang Walikukun dan Trinil yang mendapatkan sumber dari GI Ngawi dan penyulang Sine yang mendapat sumber dari GI Magetan. Area calon pembangunan GI Mantingan yaitu didaerah Widodaren, Mantingan, Karanganyar, Ngrambe dan Sine. Penelitian menunjukan bahwa GI baru dibangun dengan kapasitas 60 MVA dan besar nilai pembebanan trafo Gardu Induk Mantingan selama 8 tahun memiliki rata-rata sebesar 41,41% serta biaya pokok penyediaan listik (BPP) rata-rata sebesar Rp. 2.101. Kata kunci — kapasitas trafo, konsumsi energi listrik, regresi linear. Abstract — The growth of electricity load in Ngawi and Magetan areas has increased due to the government's plan to build several infrastructure and industrial areas. The electricity provider must be able to predict the system's ability to serve consumers. The planning for the construction of substations (GI) is carried out to ensure that all electricity loads served can be properly accommodated. This research uses historical data in predicting the amount of electricity demand in the Mantingan substation area from 2019 to 2026. The method used is a linear regression with one-stage planning, which is for 8 years (long term). The results recommend that the current operating system requires an electric load by moving three feeders in Magetan substation and Ngawi substation to Mantingan substation. The three feeders, namely the Walikukun and Trinil feeders, were sourced from the Ngawi substation and the Sine feeders which were sourced from the Magetan substation. The prospective areas for the construction of the Mantingan Substation are Widodaren, Mantingan, Karanganyar, Ngrambe, and Sine areas. Research shows that a newly built substation with a capacity of 60 MVA and the load value of the Mantingan substation transformer for 8 years has an average of 41.41% and an average of biaya pokok penyedia listrik (BPP) of Rp. 2,101. Keywords— transformer capacity, electrical energy consumption, linear regression.

Design of Wireless Automatic Meter Reading System

2011 ◽  
Vol 225-226 ◽  
pp. 966-969
Author(s):  
Yao Zhang Sai ◽  
Ru Jian Ma
Keyword(s):  
Energy Consumption ◽  
Communication Technology ◽  
High Accuracy ◽  
Property Management ◽  
Automatic Meter Reading ◽  
Community Property ◽  
The Social ◽  
Frequency Module ◽  
Automatic Meter Reading System ◽  
Reading System

Community property management in metering and charging of resource and energy consumption, such as water, electricity and gas charging are a time-consuming, laborious, tedious and monotonous work. It also needs a large amount of computing and the computing requires high accuracy because the dispute will affect the social security easily. The current used meter reading and charging systems for resource and energy consumption of household are analyzed in this paper. The wireless automatic meter reading and charging systems are also discussed. A design scheme is proposed based on short-range wireless meter reading communication technology. The combination of CC1100 radio frequency module and GPRS network is used in the scheme. The system has the characteristics of low in price, simple in structure and good stability.

A persuasive multi-agent simulator to improve electrical energy consumption

2021 ◽  
pp. 1-15
Author(s):  
Fernanda P. Mota ◽  
Cristiano R. Steffens ◽  
Diana F. Adamatti ◽  
Silvia S. Da C Botelho ◽  
Vagner Rosa
Keyword(s):  
Energy Consumption ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Multi Agent

scholarly journals AUDIT ENERGI PADA SEBUAH HOTEL

2012 ◽  
Vol 16 (3) ◽  
pp. 131
Author(s):  
Didik Ariwibowo
Keyword(s):  
Energy Consumption ◽  
Air Conditioning ◽  
Energy Savings ◽  
Electric Energy ◽  
Electrical Energy ◽  
Hot Water ◽  
Electrical Energy Consumption ◽  
Energy Audit ◽  
Electric Energy Consumption ◽  
Pumping System

Didik Ariwibowo, in this paper explain that energy audit activities conducted through several phases, namely: the initial audit, detailed audit, analysis of energy savings opportunities, and the proposed energy savings. Total energy consumed consists of electrical energy, fuel, and materials in this case is water. Electrical energy consumption data obtained from payment of electricity accounts for a year while consumption of fuel and water obtained from the payment of material procurement. From the calculation data, IKE hotels accounted for 420.867 kWh/m2.tahun, while the IKE standards for the hotel is 300 kWh/m2.tahun. Thus, IKE hotel included categorized wasteful in energy usage. The largest energy consumption on electric energy consumption. Largest electric energy consumption is on the air conditioning (AC-air conditioning) that is equal to 71.3%, and lighting and electrical equipment at 27.28%, and hot water supply system by 4.44%. Electrical energy consumption in AC looks very big. Ministry of Energy and Mineral Resources of the statutes, the profile of energy use by air conditioning at the hotel by 48.5%. With these considerations in the AC target for audit detail as the next phase of activity. The results of a detailed audit analysis to find an air conditioning system energy savings opportunities in pumping systems. Recommendations on these savings is the integration of automation on the pumping system and fan coil units (FCU). The principle of energy conservation in the pumping system is by installing variable speed drives (VSD) pump drive motor to adjust speed according to load on the FCU. Load variations FCU provide input on the VSD pumps to match. Adaptation is predicted pump can save electricity consumption up to 65.7%. Keywords: energy audit, IKE, AC

scholarly journals Specific Electrical Energy Consumption and CO2 Emissions Assessment of Agrifood Industries in the Central Region of Portugal

2014 ◽  
Vol 675-677 ◽  
pp. 1880-1886 ◽  
Author(s):  
Pedro D. Silva ◽  
Pedro Dinis Gaspar ◽  
J. Nunes ◽  
L.P.A Andrade
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Food Safety ◽  
Central Region ◽  
Electrical Energy ◽  
Electrical Energy Consumption ◽  
Reference Levels ◽  
Energy Characteristics ◽  
Result Analysis

This paper provides a characterization of the electrical energy consumption of agrifood industries located in the central region of Portugal that use refrigeration systems to ensure the food safety. The study is based on the result analysis of survey data and energy characteristics of the participating companies belonging to the following agrifood sectors: meat, dairy, horticultural, distribution and wine. Through the quantification of energy consumption of companies is possible to determine the amount of greenhouse gases (GHGs) emissions indexed to its manufacturing process. Comparing the energy and GHGs emissions indexes of companies of a sector and between sectors is possible to create reference levels. With the results of this work is possible to rating the companies in relation to reference levels of energy and GHGs emissions and thus promote the rational use of energy by the application of practice measures for the improvement of the energy efficiency and the reduction of GHGs emissions.

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