Energy Demand Forecasting: Electricity through Demand Response Programs

by Steven J. Lyman Digital Marketing

Electricity is a necessary part of life. Modern life cannot be imagined without electricity. From giant industrial machines to tiny household appliances, all require electricity to perform the functions they were meant to. Electricity demand forecasting refers to the analysis of electricity requirements and power demands of the society, which is then analysed for the functioning of power stations and constructions of new stations according to the gathered data.

Demand response programs provide an opportunity to the general public to shift or reduce their electricity uses depending upon peak intensive hours and specific requirements. Here are the few ways in which forecasting makes an impact.

1-Saves excessive electricity produced:

By including sophisticated algorithms and surveys, the energy department can use a day ahead forecasting techniques to redistribute the energy which is produced in excess. This will help the department in the long run as they don’t have to waste any energy produced.

Lose about 10-kilo watts of energy every day as the electricity produced doesn’t get consumed the whole 100%. To tackle the issue, the data collected from the demand response programs are fed into machine learning algorithms which use forecasting and scheduling scripts to compare the collected data to the required criteria and give a detailed report about the losses and their reduction mechanisms.

2-Reduction of load and power cuts:

As the demand response programs include the general public, a survey conducted will provide data about the overall usage of energy in a particular day. This will help the analysts to make an energy demand forecast model which can then be utilised in the reduction of overall load of the power station and reduce the number of power cuts a locality experiences in a typical month.

3-Initiating more R&D leading to further improvements: More surveys being conducted mean more data being gathered. More data equals more significant analysis, and higher analysis means improving the overall infrastructure of the forecasting centres and research advancements.

Electricity demand forecasting takes into account a load of each household; therefore, more survey data will help in the efficient production of electricity for each household and not any more or less.

On the research conducted to date, it is evident that supply and demand aren’t consistent. This is the primary focus forecasting in general. Consistency in demand will bring uniformity in production and in the long run, will help in saving gigawatts of energy.

Energy demand forecast will benefit the overall landscape of power production. Clean and renewable energy stations will be set up for societies which do not operate on heaving loads, hydropower stations can reduce their water consumption, and wind energy harvesting will be efficiently done in the future.

The potential of forecasting techniques has opened many aspects in which mankind can supply their energy demands and also help the planet by minimising emissions from AC systems and not overflowing dams. Demand response programs in the future will aim to survey the impact of the previous forecasting data and the benefits it has brought to society.

Sponsor Ads

About Steven J. Lyman Innovator   Digital Marketing

0 connections, 0 recommendations, 56 honor points.
Joined APSense since, May 30th, 2015, From London, United Kingdom.

Created on Oct 9th 2019 02:55. Viewed 298 times.


No comment, be the first to comment.
Please sign in before you comment.