Global Automated Demand Response Management System Market 2017 - Alstom, GE Energy, Lockheed Martin, Schneider Electric, Siemens

The Report Titled Automated Demand Response Management System is an in-depth and a Professional document that provides a comprehensive overview of the Global Automated Demand Response Management System Market. It provides information on Trends and Developments, and Focuses on Markets and Materials, Capacities and Technologies, and on the changing structure of the Automated Demand Response Management System Market. The report will offers you a Key Manufacturer of the products, applications, DROS and others. The future market forecasts about the Global Automated Demand Response Management System Market are also covered in the research report.

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The electricity production and consumption process within the vast industry landscape is undergoing a dramatic change. On the production side of the business, the pressure is on the utility companies to include greener approaches of production and improve the efficiency at every stage of the process to the extent possible. On the consumption side of the business, the governments are encouraging an optimal energy use and providing incentives for the same through various programs. The maximum losses for the electricity industry lie within the transmission sector. Though the technology trend shows a drastic advancement within this sector, there is a lot more to be done to make this industry environment friendly. The automated demand response management systems market is estimated to be USD XX million in 2016 and is projected to reach a value of USD XX million by 2022, at a CAGR of XX% during the forecast period (2017-2022).

The leading companies in the Global Automated Demand Response Management System Market mentioned in the report:

Alstom
Schneider Electric
Siemens
Honeywell International
Johnson Controls
ABB (Ventyx)
GE Energy
Lockheed Martin
Silver Spring Networks
EnerNOC
REGEN Energy
AutoGrid

Decentralizing the production process by employing renewable sources of energy needs a greater investment for storing the produced energy, and later transporting the same. In this scenario, measuring and estimating the demand becomes vital for planning the load requirement. It is also important for the utilities to produce exactly the required amount of electricity that would ultimately lead to lower levels of emission into the environment. The imbalance of the demand and its seasonal nature has become a serious problem for the utilities and there arises the need for smarter measurement systems. The solution lies with the advancements in the smart grid infrastructure, such as smart meters and later the analysis of the consumption patterns through automated demand response systems. An automated demand response is an energy service that contributes to balancing the power demand with the supply, in which it realizes extensive interoperations between the power consumers and the suppliers.

Accommodating energy efficiency, controlling the load strain on the system and integrating distributed energy resources are the immediate challenges for the utilities all over the world to bring in agility to the electricity network and maximize value for their customers across the value chain. This scenario acts as a driver for the adoption of advanced demand response management systems for the utilities and the customers as well. These automated DRMS helps the utilities to invest intelligently on strengthening the grid, rather than having to shut down power plants at a later stage, thereby increasing non-performing assets.

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The programs are introduced to control the peak demand and offset the threat of a potential blackout have just managed to bring in some kind of awareness to the customers, and in the future, the advanced technologies are expected to create an unprecedented opportunity in the sector.

Key Topics Covered:

Part 01: Executive summary

Part 02: Scope of the report

Part 03: Research Methodology

Part 04: Introduction

Part 05: Market landscape

Part 06: Market segmentation by product

Part 07: Market segmentation by geography

Part 08: Key leading countries

Part 09: Decision framework

Part 10: Drivers and challenges

Part 11: Market trends

Part 12: Vendor landscape

Part 13: Key vendor analysis

Part 14: Appendix

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