COVID-19 and the Electricity Market

2022 ◽  
pp. 124-144
Author(s):  
Nima Norouzi
Keyword(s):  
Electricity Market ◽  
Electricity Consumption ◽  
Electricity Industry ◽  
Electricity Demand ◽  
The State ◽  
Short Term ◽  
The World ◽  
Relative Decline

This chapter investigates the effects of COVID-19 on electricity consumption in some countries, especially in Iran. The effect of COVID-19 in the electricity industry and the amount of electricity consumption in Iran and in the countries that have been most affected have been studied. A study of COVID-19's impact on the world shows a reduction of about 15% in electricity demand during the short term of the COVID-19 outbreak. This amount varies from country to country. Studies show that the countries under study have experienced a relative decline in electricity demand in the short term, but with the continued prevalence of COVID-19 and the removal of some restrictions, the state of electricity consumption has more or less returned to pre-COVID-19 levels. It is worth noting that at the time of writing this chapter, the COVID-19 pandemic continues.

scholarly journals Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand

2018 ◽  
Author(s):  
Atul Anand ◽  
L Suganthi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Tamil Nadu ◽  
Consumer Price Index ◽  
Electricity Consumption ◽  
Optimization Methods ◽  
Electricity Demand ◽  
The State ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

In the present study, a hybrid optimizing algorithm has been proposed using Genetic Algorithm (GA)and Particle Swarm Optimization (PSO) for Artificial Neural Network (ANN) to improve the estimation of electricity demand of the state of Tamil Nadu in India. The GA-PSO model optimizes the coefficients of factors of gross state domestic product (GSDP) , electricity consumption per capita, income growth rate and consumer price index (CPI) that affect the electricity demand. Based on historical data of 25 years from 1991 till 2015 , the simulation results of GA-PSO models are having greater accuracy and reliability than single optimization methods based on either PSO or GA. The forecasting results of ANN-GA-PSO are better than models based on single optimization such as ANN-BP, ANN-GA, ANN-PSO models. Further the paper also forecasts the electricity demand of Tamil Nadu based on two scenarios. First scenario is the "as-it-is" scenario , the second scenario is based on milestones set for achieving goals of "Vision 2023" document for the state. The present research also explores the causality between the economic growth and electricity demand in case of Tamil Nadu. The research indicates that a direct causality exists between GSDP and the electricity demand of the state.

scholarly journals A Novel Pricing Algorithm Based on Reward-Punishment Mechanism for Supply and Demand Balancing

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaofei Chen ◽  
Liguo Weng ◽  
Haiyan Zhu ◽  
Deqiang Lian
Keyword(s):  
Electricity Market ◽  
Supply And Demand ◽  
Electricity Consumption ◽  
Electricity Demand ◽  
Single Type ◽  
Pricing Scheme ◽  
Punishment Mechanism ◽  
The Stability ◽  
Different Characteristics ◽  
Reward And Punishment

Demand response (DR) is a powerful tool to maintain the stability of the power system and maximize the profit of the electricity market, where the customers engage in the pricing scheme and adjust their electricity demand proactively based on the price. In DR programs, most existing works are based on the assumption that the prediction of the electricity demand from customers is always accurate and trustworthy, which will lead to high cost and fluctuation of the electricity market once the prediction is obeyed. In this paper, we design a reward and punishment mechanism to constrain customers’ dishonest behaviors and propose a novel pricing algorithm based on the reward and punishment mechanism to relax the assumption, which guarantees the total electricity demands of all customers are within a secure range and obtain the maximum profit of the supplier. Meanwhile, we obtain the optimal demand and provide a upper and lower bound of the proposed price for the electricity market. In addition to a single type of customer, we also consider multiple types of customers, each of whom has different characteristics to prices. Extensive simulation results are constructed to demonstrate the effectiveness of the proposed algorithm compared with other pricing algorithms. It also shows that the average electricity consumption of a whole community is mostly affected by the residents’ electricity consumption and the balance of the supply and all types of customers is achieved under the proposed pricing algorithm.

Short-Term Measurements of Household Electricity Demand During Hot Weather in Kuala Lumpur

2017 ◽  
Vol 7 (3) ◽  
pp. 1436
Author(s):  
Nassir Ranjbar ◽  
Sheikh Ahmad Zaki ◽  
Nelidya Md Yusoff ◽  
Fitri Yakub ◽  
Aya Hagishima
Keyword(s):  
Time Series Data ◽  
Electricity Consumption ◽  
Weather Conditions ◽  
Electricity Demand ◽  
Series Data ◽  
Air Conditioner ◽  
Kuala Lumpur ◽  
Short Term ◽  
Minute Interval ◽  
Hot Weather

The aim of this study was to conduct short-term measurements on household electricity demand under hot weather conditions in a residential area in Kuala Lumpur. The measurements included total and air conditioner (AC) electricity consumption of 10 households in an apartment building as well as outdoor air temperatures, which were collected from March to May 2016. Results indicated that the average AC electricity consumption contributed to a major portion of total household electricity consumption, which ranged from 19.4 to 52.3% during the measurement period. Additionally, 1-minute interval time series data indicated household energy consumption more accurately than 30- or 60-minute interval.

scholarly journals ASSESSMENT OF CONSUMERS POWER CONSUMPTION OPTIMIZATION BASED ON DEMAND SIDE MANAGEMENT

2021 ◽  
pp. 19-31
Author(s):  
Serhii Denysiuk ◽  
Stefan Zaichenko ◽  
Vitalii Opryshko ◽  
Denys Derevianko
Keyword(s):  
Power Supply ◽  
Electricity Market ◽  
Power Supply System ◽  
Electricity Consumption ◽  
Energy System ◽  
Developed Countries ◽  
Electricity Demand ◽  
Supply System ◽  
Estimation Methods ◽  
Control Mechanisms

To ensure the functioning of the energy system, coordination and increase the efficiency of its parts need new control mechanisms. Generation, transmission and consumption of electricity needed control mechanisms that include integration of self-organizing power and heat supply systems, built on multi-agent principle. Also they must correspond intellectual basis, monitoring and accumulation. This includes effectiveness assessment of the state and analysis of technical, technological and organizational management mechanisms. One of the main parts is interaction principles of energy systems in accordance with European Community policy at various levels at liberalized electricity market. In most developed countries, demand management programs are widely used as a means of harmonizing the modes of generation and consumption in the power supply system. The main direct methods are set in the form of electricity tariffs. Indirect methods are set in the form of programs to manage electricity demand and the possibility of their application to manage electricity demand. Methods for estimating the unevenness of the daily schedule of electricity consumption and the factors influencing the technological environment are presented. The work aims at scientific and applied problem – finding methods of estimation and features of managing the demand for electricity. The use of the proposed estimation methods of electricity consumption influence non-uniformity on the level of power supplies system losses based on Frize QF power and optimization of consumers’ operation modes in the power supply system is considered. Approaches and optimization mechanisms of the daily electricity consumption on the example of a residential complex with the possibility of energy accumulation are offered

P3s and Social Infrastructure: Three Decades of Prison Reform in Victoria, Australia

2020 ◽  
Vol 25 (3) ◽  
pp. 214-230
Author(s):  
Deirdre O’Neill ◽  
Valarie Sands ◽  
Graeme Hodge
Keyword(s):  
Public Sector ◽  
The State ◽  
Prison Reform ◽  
Social Infrastructure ◽  
Short Term ◽  
Rigorous Evaluation ◽  
Private Prison ◽  
The World ◽  
Exact Degree

Once regarded as core public sector business, Australia’s prisons were reformed during the 1990s and Australia now has the highest proportion of prisoners in privately managed prisons in the world. How could this have happened? This article presents a case study of the State of Victoria and explains how public–private partnerships (P3s) were used to create a mixed public–private prison system. Despite the difficulty of determining clear and rigorous evaluation results, we argue that lessons from the Victorian experience are possible. First, neither the extreme fears of policy critics nor the grandiose policy and technical promises of reformers were fully met. Second, short-term success was achieved in political and policy terms by the delivery of badly needed new prisons. Third, the exact degree to which the state has achieved cheaper, better, and more accountable prison services remains contested. As a consequence, there is a need to continue experimentation but with greater transparency.

New Argentine government bets on renewable energy

2016 ◽  
Keyword(s):  
Renewable Energy ◽  
Electricity Market ◽  
Oil Prices ◽  
The State ◽  
Short Term ◽  
Content Type ◽  
Vaca Muerta ◽  
Wholesale Electricity Market ◽  
To Come ◽  
Unconventional Hydrocarbons

Subject Renewable energy. Significance On July 25, the Energy Ministry launched a tender to award contracts for up to 1,000 megawatts to supply renewable energy to CAMMESA, the state-owned wholesale electricity market administrator. The Renewable Energy Promotion bill approved last year sets ambitious targets, calling for 8% of electricity to come from renewable sources by 2017, gradually increasing to 20% by 2025. Impacts Drops in international oil prices will likely delay development of the Vaca Muerta unconventional hydrocarbons reservoir. This may encourage the authorities to look at renewable energy to meet expected short-term increases in demand. Renewable energy chamber CADER claims that 3,000 megawatts of renewable capacity could be added within two years, with proper incentives.

scholarly journals Forecasting of electricity demand in the region

2019 ◽  
Vol 84 ◽  
pp. 01010
Author(s):  
Janusz Sowiński
Keyword(s):  
Electricity Market ◽  
Structural Changes ◽  
Technological Development ◽  
Electricity Consumption ◽  
Euler Method ◽  
Electricity Demand ◽  
Demand Forecast ◽  
Consumption Rates ◽  
End Use ◽  
Short Time

Ongoing structural changes on the electricity market and technological development affecting consumers and producers increase uncertainty concerning demand for electricity, even in a short-time horizon. Because of this, it is necessary to develop forecasting methods. This paper presents a method for forecasting electricity demand based on the idea of an end-use model. Such models use regional electricity consumption rates and population growth predictions as input data, on the basis of which they yield electricity demand forecast for the whole country and for particular regions. The model also deploys stochastic differential equations for simulating time-variation of electricity consumption rates by means of the Euler method. On the basis of available statistical data, the results of a forecast in a medium-term horizon are presented.

scholarly journals Electricity demand management within the retail electricity market in Russia

2020 ◽  
Vol 209 ◽  
pp. 03021
Author(s):  
Ogorodnikov N.S.
Keyword(s):  
Electricity Market ◽  
Demand Management ◽  
Electricity Consumption ◽  
Electricity Demand ◽  
Management Tools

The article is devoted to the problem of managing the demand for electricity consumption within the framework of the retail electricity market in Russia. The author identifies and summarizes the existing demand management tools. The article substantiates the need for the development and implementation of innovative tools and mechanisms for managing the demand for electricity consumption.

scholarly journals Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand

2018 ◽  
Author(s):  
Atul Anand ◽  
L Suganthi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Tamil Nadu ◽  
Consumer Price Index ◽  
Electricity Consumption ◽  
Optimization Methods ◽  
Electricity Demand ◽  
The State ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

In the present study, a hybrid optimizing algorithm has been proposed using Genetic Algorithm (GA)and Particle Swarm Optimization (PSO) for Artificial Neural Network (ANN) to improve the estimation of electricity demand of the state of Tamil Nadu in India. The GA-PSO model optimizes the coefficients of factors of gross state domestic product (GSDP) , electricity consumption per capita, income growth rate and consumer price index (CPI) that affect the electricity demand. Based on historical data of 25 years from 1991 till 2015, the simulation results of GA-PSO models are having greater accuracy and reliability than single optimization methods based on either PSO or GA. The forecasting results of ANN-GA-PSO are better than models based on single optimization such as ANN-BP, ANN-GA, ANN-PSO models. Further the paper also forecasts the electricity demand of Tamil Nadu based on two scenarios. First scenario is the “as-it-is” scenario, the second scenario is based on milestones set for achieving goals of “Vision 2023” document for the state. The present research also explores the causality between the economic growth and electricity demand in case of Tamil Nadu. The research indicates that a direct causality exists between GSDP and the electricity demand of the state.

TOURIST BUSINESS DEVELOPMENT IN UKRAINE

2019 ◽  
pp. 39-46
Author(s):  
Stefania Mosiuk ◽  
Igor Mosiuk ◽  
Vladimir Mosiuk
Keyword(s):  
National Economy ◽  
Methodological Approach ◽  
Business Development ◽  
Tourism Industry ◽  
The State ◽  
Complete Analysis ◽  
Resource Potential ◽  
The World ◽  
Potential Resource ◽  
Favorable Conditions

The purpose of the article is to analyze and substantiate the development of tourism business in Ukraine as a priority component of the national economy. The methodology of this study is to use analytical, spatial, geographical, cultural and other methods. This methodological approach provided an opportunity to carry out a complete analysis of the state of the tourism industry of the state and to draw some conclusions.The scientific novelty lies in the coverage of the real and potential resource potential for the development of the recreational and tourism sphere in Ukraine, detailing the measures for the country ‘s entry into the world tourist market. Conclusions. Analyzing the state and prospects of tourism business development in Ukraine, it should be noted that this industry is one of the priority areas for improving the economy of the country. Historical, cultural – ethnographic, gastronomic, sanatorium and resort potentials of the country will lead the country into world leaders of the tourism industry when creating favorable conditions for investment and proper marketing.

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