Load and Energy Billing Forecasting of an Electricity Utility

2013 ◽  
Author(s):  
K. Figueiredo ◽  
M.M.B.R. Vellasco ◽  
J.C.A. Mattoso
Keyword(s):  
Energy Billing ◽  
Electricity Utility

scholarly journals Demand Response Optimization Model to Energy and Power Expenses Analysis and Contract Revision

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2803 ◽  
Author(s):  
Filipe Marangoni ◽  
Leandro Magatão ◽  
Lúcia Valéria Ramos de Arruda
Keyword(s):  
Mathematical Model ◽  
Demand Response ◽  
Electric Energy ◽  
Electric Utility ◽  
Mixed Integer ◽  
Energy Billing ◽  
Response Optimization ◽  
Alternative Sources ◽  
Local Generation

This paper proposes a mathematical model based on mixed integer linear programming (MILP). This model aids the decision-making process in local generation use and demand response application to power demand contract adequacy by Brazilian consumers/prosumers. Electric energy billing in Brazil has some specificities which make it difficult to consider the choice of the tariff modality, the determination of the optimal contracted demand value, and demand response actions. In order to bridge this gap, the model considers local generation connected to the grid (distributed generation) and establishes an optimized solution indicating power energy contract aspects and the potential reduction in expenses for the next billing period (12 months). Different alternative sources already available or of interest to the consumer can be considered. The proposed mathematical model configures an optimization tool for the feasibility analysis of local generation use and, concomitantly, (i) checking the tariff modality, (ii) revising the demand contract, and (iii) suggesting demand response actions. The presented result shows a significant reduction in the energy and power expenses, which confirms the usefulness of this proposal. In the end, the optimized answers promote benefits for both, the consumer/prosumer and the electric utility.

Electricity utility business not as usual

2015 ◽  
Vol 48 ◽  
pp. 1-11 ◽  
Author(s):  
Fereidoon P. Sioshansi
Keyword(s):  
Electricity Utility

Dynamic Economic Dispatch Incorporating Wind Power with Carbon Trading Scheme

2012 ◽  
Vol 487 ◽  
pp. 94-98
Author(s):  
Tung Sheng Zhan
Keyword(s):  
Wind Power ◽  
Co2 Emission ◽  
Economic Dispatch ◽  
Emission Trading ◽  
Trading Market ◽  
Accelerated Particle Swarm Optimization ◽  
Trading Scheme ◽  
Dynamic Economic Dispatch ◽  
The Relationship ◽  
Electricity Utility

This paper proposed an issue aiming at the goal of pierces the relationship between the emission trading scheme and dynamic economic dispatch (DED) problem for the electricity utility. A model of the CO2 emission trading market will be investigated and introduced into DED problem incorporating wind power plant and independent power providers (IPPs). Then, an accelerated particle swarm optimization (APSO) algorithm is introduced in order to avoid prematurity convergence of the original PSO and improve searching efficiency. Thus, APSO was used to determine the DED strategy of the utility with incorporation of wind power generation and contribution of IPPs. The CO2 emission trading is treated as the inner-cost, and the superfluous CO2 quotas will be resale into the market, whereas the shortage quotas can be purchased from the market.

Comparison of Power Definitions in the Presence of Waveform Distortion

1995 ◽  
Vol 32 (2) ◽  
pp. 141-153 ◽  
Author(s):  
L. I. Eguiluz ◽  
J. Arrillaga
Keyword(s):  
Classical Method ◽  
Capacitor Bank ◽  
Harmonic Distortion ◽  
Waveform Distortion ◽  
Energy Billing

Comparison of power definitions in the presence of waveform distortion In this paper, several definitions of reactive and apparent power in the non-sinusoidal regime are analysed and their repercussions in energy-billing are assessed. The classical method of optimisation by capacitor bank is considered to be problematic since it produces frequent resonances and increased harmonic distortion.

scholarly journals Development of Electric Power Availability Recorder for Accurate Energy Billing of Unmetered Facilities

2021 ◽  
Vol 6 (3) ◽  
pp. 7-14
Author(s):  
Chibuzo Victor Ikwuagwu ◽  
Ikechukwu Emmanuel Okoh ◽  
Stephen Aroh Ajah ◽  
Cosmas Uchenna Ogbuka ◽  
Godwin Ogechi Unachukwu ◽  
...  
Keyword(s):  
Electric Power ◽  
Energy Billing

scholarly journals How Does the Spillover among Natural Gas, Crude Oil, and Electricity Utility Stocks Change over Time? Evidence from North America and Europe

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 727 ◽  
Author(s):  
Wenting Zhang ◽  
Xie He ◽  
Tadahiro Nakajima ◽  
Shigeyuki Hamori
Keyword(s):  
North America ◽  
Natural Gas ◽  
Crude Oil ◽  
Extreme Events ◽  
Global Financial Crisis ◽  
Spillover Effects ◽  
Volatility Spillover ◽  
Stock Indices ◽  
Current Events ◽  
Electricity Utility

Our study analyzes the return and volatility spillover among the natural gas, crude oil, and electricity utility stock indices in North America and Europe from 4 August 2009 to 16 August 2019. First, in time domain, both total return and volatility spillover are stronger in Europe than in North America. Furthermore, compared to natural gas, crude oil has a greater volatility spillover on the electricity utility stock indices in North America and Europe. Second, in frequency domain, most of the return spillover occurs in the short-term, while most of the volatility spillover occurs over a longer period. Third, the rolling analyses indicate that the return and volatility from 2009 to late 2013 remained stable in North America and Europe, which may be a result of the 2008 global financial crisis, and started to fluctuate after late 2013 due to some extreme events, indicating that extreme events can significantly influence spillover effects. Moreover, investors should monitor current events to diversify their portfolios properly and hedge their risks.

Impact of Electricity Utility Rate Reform in Oakland and Livingston Counties, Michigan

1982 ◽  
Vol 12 (1) ◽  
pp. 27-36 ◽  
Author(s):  
James H. Johnson ◽  
Bradley T. Cullen ◽  
Lawrence M. Sommers
Keyword(s):  
Utility Rate ◽  
Electricity Utility
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