Electricity consumption demand

In the electricity market operation, wholesale electricity prices or Locational Marginal Prices (LMP) vary according to electric demand (including consumption power consumed, bidding prices and the level of price-sensitivity) as well as the penetration level of the wind power. The variable domain identification of LMP plays a very important role for market participants to assess and mitigate the risk on account of the uncertainty of wind power output forecasting.

5p vispyker 16-11-2022 4 1   Download

DSM is a set of tools and practices taken by utilities to influence the amount and/or timing of customers’ energy demand in order to use electricity most efficiently. DSM decreases the cost of meeting customers’ energy needs through increased investment in enduse energy efficiency and load management. Demand-side resources can reduce or postpone investment in generation, transmission, and distribution capacity, and decrease fuel consumption, and improve environmental quality.

10p visherylsandberg 18-05-2022 7 1   Download

At present, the continuous increase of household electricity demand is strategic and crucial in electricity demand management. Household electricity consumers can play an important role in this issue. The rationalization of electricity consumption might be achieved by using an efficient Demand Response (DR) program.

17p mynguyenha 21-07-2021 23 1   Download

This study examines the long term impact of demand-side management variables including HER (Home energy report), MEPS (Minimum Energy Performance Standards) and NEEAP (National Energy Efficiency Action Plan). The future installation capacity of Malaysia’s power generation is evaluated considering the factors of population, per capita electricity consumption, efficiency, capacity margin and DSM. The forecasting horizon of the simulation model is 15 years from 2016 to 2030.

7p mynguyenha 21-07-2021 14 1   Download

An accurate forecasting for long-term electricity demand make a major role to the planning of the power system in any country. Vietnam is one of the most economic developing country in the world, and its electricity demand has been increased dramatically high of about 15%/y for last three decades. Contribution of industry and construction sectors in GDP have been increasing year by year, and are currently holding the leading position of the largest consumers with more than 50% sharing in national electricity consumption proportion.

10p trinhthamhodang9 04-12-2020 18 2   Download

Quantification of material flows and energy balance in production lines as well as in waste management systems and illustrative presentation of the flows are useful tools for decision making in both cleaner production and pollution control. In this study, using STAN software, the authors have analyzed the material flows, and, using SANKEY software, the authors have analyzed the energy balance of the main production lines and the wastewater management system of a selected textile company in Vietnam.

10p angicungduoc5 13-06-2020 29 0   Download

Consumer’s behavior can affect volume and electricity demand profile. Therefore, knowing behavior of users is valuable to manage electricity usage, to design better energy policy and management. This study aims to analyse electricity users for manufacturing small and medium enterprises (SMEs) in Makassar, Indonesia to get information about perceptions and users’ behaviors on energy consumption using statistical approach. A questionnaire for survey is firstly designed to obtain required data from respondents.

7p partimesinhvien 13-05-2020 37 1   Download

With the latest development of smart grid technology, the energy management system can be efficiently implemented at consumer premises. In this paper, an energy management system with wireless communication and smart meter are designed for scheduling the electric home appliances efficiently with an aim of reducing the cost and peak demand. For an efficient scheduling scheme, the appliances are classified into two types: uninterruptible and interruptible appliances.

11p caygaocaolon1 13-11-2019 29 0   Download

On the basis of the grey prediction models, this study uses the previous data (from 1980 to 2014) from the website of the World Bank and applies two algorithm models to forecast the electricity consumption in Vietnam.

9p vimariecurie2711 01-08-2019 18 1   Download

Using the feed-forward back propagation (FFBP) method, a modified model of neural network, this paper will introduce a new long-term prediction approach for the maximum load power of Vietnam. Results from simulation indicate a considerable correlation of three parameters regarding electric power consumption demand, GDP growth rate, and maximum load power demand; the mean error of suggested model is about 1.92%. This is a reasonable range of mean error for a long-term prediction where the correlation of variables is not explicit.

7p trangcham1896 10-12-2018 33 0   Download

The whole world is in the grip of energy crisis and the pollution manifesting itself in the spiraling cost of energy and uncomforted due to increase in pollution as well as the depletion of conventional energy resources and increasing curve of pollution elements. To meet these challenges one way is to check growing energy demand but that would show down the economic growth as first step and to develop nonpolluting energy conversion system as second step. It is commonly accepted that the standard of living increases with increasing energy consumption per capita.

491p nguyenthai_thinh 16-03-2013 71 16   Download