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According to Federal Energy Regulatory Commission, Demand Response (DR) is defined as: “Changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized.” DR includes all intentional modifications to consumption patterns of electricity of enduse customers that are intended to alter the timing, level of instantaneous demand, or the total electricity consumption.
In electricity grids, demand response (DR) is similar to dynamic demand mechanisms to manage customer consumption of electricity in response to supply conditions, for example, having electricity customers reduce their consumption at critical times or in response to market prices. The difference is that demand response mechanisms respond to explicit requests to shut off, whereas dynamic demand devices passively shut off when stress in the grid is sensed. Demand response can involve actually curtailing power used or by starting on-site generation which may or may not be connected in parallel with the grid. This is a quite different concept from energy efficiency, which means using less power to perform the same tasks, on a continuous basis or whenever that task is performed. At the same time, demand response is a component of smart energy demand, which also includes energy efficiency, home and building energy management, distributed renewable resources, and electric vehicle charging.
Current demand response schemes are implemented with large and small commercial as well as residential customers, often through the use of dedicated control systems to shed loads in response to a request by a utility or market price conditions. Services (lights, machines, air conditioning) are reduced according to a preplanned load prioritization scheme during the critical time frames. An alternative to load shedding is on-site generation of electricity to supplement the power grid. Under conditions of tight electricity supply, demand response can significantly decrease the peak price and, in general, electricity price volatility.
Demand response is generally used to refer to mechanisms used to encourage consumers to reduce demand, thereby reducing the peak demand for electricity. Since electrical generation and transmission systems are generally sized to correspond to peak demand (plus margin for forecasting error and unforeseen events), lowering peak demand reduces overall plant and capital cost requirements. Depending on the configuration of generation capacity, however, demand response may also be used to increase demand (load) at times of high production and low demand. Some systems may thereby encourage energy storage to arbitrage between periods of low and high demand (or low and high prices).
There are three types of demand response - emergency demand response, economic demand response and ancillary services demand response. Emergency demand response is employed to avoid involuntary service interruptions during times of supply scarcity. Economic demand response is employed to allow electricity customers to curtail their consumption when the productive or convenience of consuming that electricity is worth less to them than paying for the electricity. Ancillary services demand response consists of a number of specialty services that are needed to ensure the secure operation of the transmission grid and which have traditionally been provided by generators.
Smart grid application 
Smart grid applications improve the ability of electricity producers and consumers to communicate with one another and make decisions about how and when to produce and consume kWh. This emerging technology will allow customers to shift from an event based demand response where the utility requests the shedding of load, towards a more 24/7 based demand response where the customer sees incentives for controlling load all the time. Although this back and forth dialogue increases the opportunities for demand response, customers are still largely influenced by economic incentives and are reluctant to relinquish total control of their assets to utility companies.
One advantage of a smart grid application is time-based pricing. Customers who traditionally pay a fixed rate for kWh and kW/month can set their threshold and adjust their usage to take advantage of fluctuating prices. This may require the use of an energy management system to control appliances and equipment and can involve economies of scale. Another advantage, mainly for large customers with generation, is being able to closely monitor, shift, and balance load in a way that allows the customer to save peak load and not only save on kWh and kW/month but be able to trade what they have saved in an energy market. Again this involves sophisticated energy management systems, incentives, and a viable trading market.
Smart grid applications increase the opportunities for demand response by providing real time data to producers and consumers, but the economic and environmental incentives remain the driving force behind the practice.
Electricity pricing 
In most electric power systems, some or all consumers pay a fixed price per unit of electricity independent of the cost of production at the time of consumption. The consumer price may be established by the government or a regulator, and typically represents an average cost per unit of production over a given timeframe (for example, a year). Consumption therefore is not sensitive to the cost of production in the short term (e.g. on an hourly basis). In economic terms, consumers' usage of electricity is inelastic in short time frames since the consumers do not face the actual price of production; if consumers were to face the short run costs of production they would generally increase and decrease their use of electricity in reaction to those cost-based price signals. In effect, consumers served under these fixed rate tariffs are endowed with real "call options" on electricity.
In virtually all power systems electricity is produced by generators that are dispatched in merit order, i.e., generators with the lowest marginal cost (lowest variable cost of production) are used first, followed by the next cheapest, etc., until the instantaneous electricity demand is satisfied. In most power systems the wholesale price of electricity will be equal to the marginal cost of the highest cost generator that is injecting energy, which will vary with the level of demand. Thus the variation in pricing can be significant: for example, in Ontario between August and September 2006, wholesale prices (in Canadian Dollars) paid to producers ranged from a peak of $318 per MW·h to a minimum of - (negative) $3.10 per MW·h. It is not unusual for the price to vary by a factor of two to five due to the daily demand cycle. A negative price indicates that producers were being charged to provide electricity to the grid (and consumers paying real-time pricing may have actually received a rebate for consuming electricity during this period). This generally occurs at night when demand falls to a level where all generators are operating at their minimum output levels and some of them must be shut down. The negative price is the inducement to bring about these shutdowns in a least-cost manner.
Two Carnegie Mellon studies in 2006 looked at the importance of demand response for the electricity industry in general terms and with specific application of real-time pricing for consumers for the PJM Interconnection Regional Transmission authority. The latter study found that even small shifts in peak demand would have a large effect on savings to consumers and avoided costs for additional peak capacity: a 1% shift in peak demand would result in savings of 3.9%, billions of dollars at the system level. An approximately 10% reduction in peak demand (achievable depending on the elasticity of demand) would result in systems savings of between $8 to $28 billion.
In a discussion paper, Ahmad Faruqui, a principal with the Brattle Group, estimates that a 5 percent reduction in US peak electricity demand could produce approximately $35 billion in cost savings over a 20 year period, exclusive of the cost of the metering and communications needed to implement the dynamic pricing needed to achieve these reductions. While the net benefits would be significantly less than the claimed $35 billion, they would still be quite substantial. In Ontario, Canada, the Independent Electricity System Operator has noted that in 2006, peak demand exceeded 25,000 megawatts during only 32 system hours (less than 0.4% of the time), while maximum demand during the year was just over 27,000 megawatts. The ability to "shave" peak demand based on reliable commitments would therefore allow the province to reduce built capacity by approximately 2,000 megawatts.
Electricity grids and peak demand response 
In an electricity grid, electricity consumption and production must balance at all times; any significant imbalance could cause grid instability or severe voltage fluctuations, and cause failures within the grid. Total generation capacity is therefore sized to correspond to total peak demand with some margin of error and allowance for contingencies (such as plants being off-line during peak demand periods). Operators will generally plan to use the least expensive generating capacity (in terms of marginal cost) at any given period, and use additional capacity from more expensive plants as demand increases. Demand response in most cases is targeted at reducing peak demand to reduce the risk of potential disturbances, avoid additional capital cost requirements for additional plant, and avoid use of more expensive and/or less efficient operating plant. Consumers of electricity will also pay lower prices if generation capacity that would have been used is from a higher-cost source of power generation.
Demand response may also be used to increase demand during periods of high supply and/or low demand. Some types of generating plant must be run at close to full capacity (such as nuclear), while other types may produce at negligible marginal cost (such as wind and solar). Since there is usually limited capacity to store energy, demand response may attempt to increase load during these periods to maintain grid stability. For example, in the province of Ontario in September 2006, there was a short period of time when electricity prices were negative for certain users. Energy storage such as Pumped-storage hydroelectricity is a way to increase load during periods of low demand for use during later periods. Use of demand response to increase load is less common, but may be necessary or efficient in systems where there are large amounts of generating capacity that cannot be easily cycled down.
Some grids may use pricing mechanisms that are not real-time, but easier to implement (users pay higher prices during the day and lower prices at night, for example) to provide some of the benefits of the demand response mechanism with less demanding technological requirements. For example, in 2006 Ontario began implementing a "Smart Meter" program that implements "Time-of-Use" (TOU) pricing, which tiers pricing according to on-peak, mid-peak and off-peak schedules. During the winter, on-peak is defined as morning and early evening, mid-peak as mid-day to late afternoon, and off-peak as night-time; during the summer, the on-peak and mid-peak periods are reversed, reflecting air conditioning as the driver of summer demand. In 2007, prices during the off-peak were C$0.034 per KWh and C$0.097 during the on-peak demand period, or just less than three times as expensive. As of 2007, few utilities had the meters and systems capability to implement TOU pricing, however, and most customers are not expected to get smart meters until 2008-2010. Eventually, the TOU pricing (or real-time pricing) is expected to be mandatory for most customers in the province.
Load shedding 
Electrical generation and transmission systems may not always meet peak demand requirements— the greatest amount of electricity required by all utility customers within a given region. In these situations, overall demand must be lowered, either by turning off service to some devices or cutting back the supply voltage (brownouts), in order to prevent uncontrolled service disruptions such as power outages (widespread blackouts) or equipment damage. Utilities may impose load shedding on service areas via rolling blackouts or by agreements with specific high-use industrial consumers to turn off equipment at times of system-wide peak demand.
Incentives to shed loads 
Energy consumers need some incentive to respond to such a request from a Demand Response Provider (see list of Providers below). Demand Response incentives can be formal or informal. For example, the utility might create a tariff-based incentive by passing along short-term increases in the price of electricity. Or they might impose mandatory cutbacks during a heat wave for selected high-volume users, who are compensated for their participation. Other users may receive a rebate or other incentive based on firm commitments to reduce power during periods of high demand, sometimes referred to as negawatts.
Commercial and industrial power users might impose load shedding on themselves, without a request from the utility. Some businesses generate their own power and wish to stay within their energy production capacity to avoid buying power from the grid. Some utilities have commercial tariff structures that set a customer's power costs for the month based on the customer's moment of highest use, or peak demand. This encourages users to flatten their demand for energy, known as energy demand management, which sometimes requires cutting back services temporarily.
Smart metering has been implemented in some jurisdictions to provide real-time pricing for all types of users, as opposed to fixed-rate pricing throughout the demand period. In this application, users have a direct incentive to reduce their use at high-demand, high-price periods. Many users may not be able to effectively reduce their demand at various times, or the peak prices may be lower than the level required to induce a change in demand during short time periods (users have low price sensitivity, or elasticity of demand is low). Automated control systems exist, which, although effective, may be too expensive to be feasible for some applications.
Technologies for demand reduction 
Technologies are available, and more are under development, to automate the process of demand response. Such technologies detect the need for load shedding, communicate the demand to participating users, automate load shedding, and verify compliance with demand-response programs. GridWise and EnergyWeb are two major federal initiatives in the United States to develop these technologies. Universities and private industry (including Energy Aware Technology Inc., EnergyConnect, Inc., Energy Curtailment Specialists, North America Power Partners, Comverge, Inc., Cooper Power Systems, EnerNOC, Inc., GridPoint, Inc., CPower, Inc., Site-Controls, LLC., Powerit Solutions, Vedero Software, RTP Controls, Inc., Fifth Fuel Management, and Energy Optimizers Ltd (Plogg)) are also doing research and development in this arena. Scalable and comprehensive software solutions for DR (such as platforms by Ziphany, LLC and Convia, Inc./A Herman Miller Company, and Servidyne via its iTendant offering) enable business and industry growth.
Some utilities are considering and testing automated systems connected to industrial, commercial and residential users that can reduce consumption at times of peak demand, essentially delaying draw marginally. Although the amount of demand delayed may be small, the implications for the grid (including financial) may be substantial, since system stability planning often involves building capacity for extreme peak demand events, plus a margin of safety in reserve. Such events may only occur a few times per year.
The process may involve turning down or off certain appliances or sinks (and, when demand is unexpectedly low, potentially increasing usage). For example, heating may be turned down or air conditioning or refrigeration may be turned up (turning up to a higher temperature uses less electricity), delaying slightly the draw until a peak in usage has passed. In the city of Toronto, certain residential users can participate in a program (Peaksaver AC ) whereby the system operator can automatically control hot water heaters or air conditioning during peak demand; the grid benefits by delaying peak demand (allowing peaking plants time to cycle up or avoiding peak events), and the participant benefits by delaying consumption until after peak demand periods, when pricing should be lower. Although this is an experimental program, at scale these solutions have the potential to reduce peak demand considerably. The success of such programs depends on the development of appropriate technology, a suitable pricing system for electricity, and the cost of the underlying technology. Bonneville Power experimented with direct-control technologies in Washington and Oregon residences, and found that the avoided transmission investment would justify the cost of the technology.
Other methods to implementing demand response approach the issue of subtlely reducing duty cycles rather than implementing thermostat setbacks. These can be implemented using customized building automation systems programming, or through swarm-logic methods coordinating multiple loads in a facility (e.g. REGEN Energy's EnviroGrid controllers). 
It was recently announced that electric refrigerators will be sold in the UK fitted with a frequency sensing device which will delay or advance the cooling cycle based on monitoring grid frequency.
Short-term inconvenience for long-term benefits 
Shedding loads during peak demand is important because it reduces the need for new power plants. To respond to high peak demand, utilities build very capital-intensive power plants and lines. Peak demand happens just a few times a year, so those assets run at a mere fraction of their capacity. Electric users pay for this idle capacity through the prices they pay for electricity. According to the Demand Response Smart Grid Coalition, 10%–20% of electricity costs in the United States are due to peak demand during only 100 hours of the year. DR is a way for utilities to reduce the need for large capital expenditures, and thus keep rates lower overall; however, there is an economic limit to such reductions because consumers lose the productive or convenience value of the electricity not consumed. Thus, it is misleading to only look at the cost savings that demand response can produce without also considering what the consumer gives up in the process.
Importance for the operation of electricity markets 
It is estimated that a 5% lowering of demand would have resulted in a 50% price reduction during the peak hours of the California electricity crisis in 2000–2001. With consumers facing peak pricing and reducing their demand, the market should become more resilient to intentional withdrawal of offers from the supply side.
Residential and commercial electricity use often vary drastically during the day, and demand response attempts to reduce the variability based on pricing signals. There are three underlying tenets to these programs:
- Unused electrical production facilities represent a less efficient use of capital (little revenue is earned when not operating).
- Electric systems and grids typically scale total potential production to meet projected peak demand (with sufficient spare capacity to deal with unanticipated events).
- By "smoothing" demand to reduce peaks, less investment in operational reserve will be required, and existing facilities will operate more frequently.
In addition, significant peaks may only occur rarely, such as two or three times per year, requiring significant capital investments to meet infrequent events.
US Energy Policy Act Regarding Demand Response 
The United States Energy Policy Act of 2005 has mandated the Secretary of Energy to submit to the US Congress "a report that identifies and quantifies the national benefits of demand response and makes a recommendation on achieving specific levels of such benefits by January 1, 2007." Such a report was published in February 2006.
The report estimates that in 2004 potential demand response capability equaled about 20,500 megawatts (MW), 3% of total U.S. peak demand, while actual delivered peak demand reduction was about 9,000 MW (1.3% of peak), leaving ample margin for improvement. It is further estimated that load management capability has fallen by 32% since 1996. Factors affecting this trend include fewer utilities offering load management services, declining enrollment in existing programs, the changing role and responsibility of utilities, and changing supply/demand balance.
To encourage the use and implementation of demand response in the United States, the Federal Energy Regulatory Commission (FERC) issued Order No. 745 in March 2011, which requires a certain level of compensation for providers of economic demand response that participate in wholesale power markets. The order is highly controversial and has been opposed by a number of energy economists, including Professor William W. Hogan at Harvard University's Kennedy School. Professor Hogan asserts that the order overcompensates providers of demand response, thereby encouraging the curtailment of electricity whose economic value exceeds the cost of producing it. Professor Hogan further asserts that Order No. 745 is anticompetitive and amounts to “…an application of regulatory authority to enforce a buyer’s cartel.” Several affected parties, including the State of California, have filed suit in federal court challenging the legality of Order 745. An enlightening debate regarding the economic efficiency and fairness of Order 745 appeared in a series of articles published in The Electricity Journal.
Demand Reduction and the use of diesel generators in the UK National Grid 
As of December 2009 UK National Grid had 2369 MW contracted to provide Demand Response, known as STOR, the demand side provides 839 MW (35%) from 89 sites. Of this 839 MW approximately 750 MW is back-up generation with the remaining being load reduction.
See also 
- Brittle Power
- Calculating the cost of the UK Transmission network: cost per kWh of transmission
- Calculating the cost of back up: See spark spread
- Control of the National Grid
- Diesel-electric transmission
- Dynamic Demand (electric power)
- Economics of new nuclear power plants (for cost comparisons)
- Energy conservation
- Energy Demand Management
- Energy intensity
- Energy security and renewable technology
- Energy use and conservation in the United Kingdom
- High-voltage direct current
- Intermittent energy source
- List of power outages
- Load bank
- Load management
- Load profile
- Low-cost solar cell
- National Grid Reserve Service
- Northeast Blackout of 2003
- Potential energy
- Relative cost of electricity generated by different sources
- Three-phase electric power
- Wet stacking
- Balijepalli, Murthy; Pradhan, Khaparde (2011). "Review of Demand Response under Smart Grid Paradigm". IEEE PES Innovative Smart Grid Technologies.
- Albadi, M. H.; E. F. El-Saadany (2007). "Demand Response in Electricity Markets: An Overview". IEEE.
-  Description of French EJP demand reduction tariff
- Load management using diesel generators - talk at Open University - Dave Andrews Claverton Energy Group
- Description of the two types of demand response
- The Power to Choose - Enhancing Demand Response in Liberalised Electricity Markets Findings of IEA Demand Response Project, Presentation 2003
- Borlick, Robert L., Pricing Negawatts - DR design flaws create perverse incentives, PUBLIC UTILITIES FORTNIGHTLY, August 2010.
- Monthly Market Report - July 2006
- CEIC Working Paper Abstract
- CEIC Working Paper Abstract
- The Brattle Group, The Power of Five Percent, How Dynamic Pricing Can Save $35 Billion in Electricity Costs, May 16, 2007.
- http://www.thestar.com/columnists/article/243454 Tyler Hamilton, The Toronto Star, A megawatt saved is a 'negawatt' earned, August 6, 2007
- http://www.oeb.gov.on.ca/html/en/consumers/infocentre/fsheets-elec/faq_rpp.htm#2 Ontario Electricity Board FAQ on Electricity Pricing
- Description of French EJP tariff - Claverton Energy Group
- N. A. Sinitsyn. S. Kundu, S. Backhaus (2013). "Safe Protocols for Generating Power Pulses with Heterogeneous Populations of Thermostatically Controlled Loads". Energy Conversion and Management 67: 297–308. arXiv:1211.0248.
- Demand-Side Management Technology Avoids Grid Construction for Bonneville Power (Case Study) April, 2006
- Smart Grid: Taking our cue from nature
- Business Week: Is Smart Energy Poised to Swarm California?, Feb 17, 2009
- MIT Technology Review: Managing Energy with Swarm Logic, Feb 04 2009
- EnviroGrid Controllers employ Swarm Logic for Smart Grid Applications
- Benefits of demand response in electricity markets and recommendations for achieving them United States DOE Report to the Congress, February 2006
- FERC approves market-based demand response compensation rule
- Hogan, William W., Implications for Consumers of the NOPR’s Proposal to Pay the LMP for All Demand Response, Statement submitted on behalf of the Electric Power Supply Association in FERC Docket No. RM10-17-000, May 12, 2010.
- Electric Power Supply Association, et al, JOINT REQUEST FOR REHEARING OF THE ELECTRIC POWER SUPPLY ASSOCIATION, THE AMERICAN PUBLIC POWER ASSOCIATION,THE ELECTRIC POWER GENERATION ASSOCIATION AND THE NATIONAL RURAL ELECTRIC COOPERATIVE ASSOCIATION, FERC Docket No. RM10-17-001, April 14, 2011, California Public Utilities Commission, Demand Response Compensation in Organized Wholesale Energy Markets, Docket No. RM10-17-000, Request For Clarification or, in theAlternative, Request for Rehearing of the Public Utilities Commission of the State of California, April 14, 2011.
- Jonathan Falk, Paying For Demand Response at the Wholesale Level, The Electricity Journal, November 2010, Vol. 23, Issue 9, pp. 13-18.
- Robert Borlick, Paying For Demand Response at the Wholesale Level: The Small Consumer's Perspective, The Electricity Journal, November 2011, Vol. 24, Issue 9, pp. 13-19.
- Constantine Gonatas, Areas of Congruence, Yes, But 'Pseudo-Agreement' on LMP, The Electricity Journal, Jan./Feb. 2012, Vol. 25, Issue 1, pp. 1-4
- http://www.claverton-energy.com/commercial-opportunities-for-back-up-generation-and-load-reduction-via-national-grid-the-national-electricity-transmission-system-operator-netso-for-england-scotland-wales-and-offshore.html Commercial Opportunities for Back-Up Generation and Load Reduction via National Grid, the National Electricity Transmission System Operator (NETSO) for England, Scotland, Wales and Offshore
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PJM Deploys New DRBizNet Demand Response System
-  UISOL DRBizNet Demand Response Software System
-  KIBERnet - Fully automated Demand Response System running in Europe
- Actility Fully automated Demand Response System and aggregator for Commercial and Industrial
- RTP Controls, Inc. Commercial and Industrial demand response aggregator - Privately Held
- Energy Curtailment Specialists Commercial and Industrial demand response aggregator - Privately Held
- GridPoint Commercial and Residential demand response Solutions
- Vedero Software, Inc. Provider of automated demand response software for commercial and industrial customers - Privately Held
- Cooper Power Systems Provider of Residential, Commercial, Industrial demand response solutions - Publicly Held/Traded
- Comverge Provider of Residential and Commercial & Industrial demand response solutions - Privately Held
- EnerNOC Commercial and Industrial demand response aggregator - Publicly Held / Traded
- CPower Demand response provider focusing on commercial, industrial, institutional and retail clients - Privately Held
- Akuacom Demand Response Automation Server (DRAS) OpenADR Standard Compliant
- OpenADR Open Standard for Automated Demand Response
- Ways to Respond to Electricity Demand Ways for businesses to reduce their electric requirements when the electric grid is unstable due to high demands
- Getting Started with Demand Response Article and audio interviews
- EPAct 2005: An Interview with Alison Silverstein Alison Silverstein, former Senior Energy Policy Advisor at FERC, thoughts on EPAct 2005, AMI-MDM, and demand response
- Research Information Demand Response research information
- Eisenbach Consulting Turnkey Demand Response Provider
- EnergyWeb Bonneville Power Administration research initiative
- Ziphany Overcoming industry challenges for utilities and demand response providers
- GridWise Pacific Northwest National Laboratories research initiative
- Industrial Energy Management Blog
- Information and resources about Demand Side Management
- Demand Response and Smart Grid Coalition
- Association for Demand Response and Smart Grid
- Peak Load Management Alliance
- Ontario Demand Response Automation Software
- Demand Response: a decisive breakthrough for Europe
- Demand Response technology startup with a promising web controlled technology
- Irrigation Load Control and Demand Side Management Devices M2M Communications
- Producers of the Plogg, a wireless smart energy meter and demand response system Plogg International
- Case study on Plogg demand response system development ByteSnap Design Ltd
-  Ken Sinclair interviews Ahmad Faruqui on Dynamic Pricing, September 2008
-  Demand Response and Advanced Metering, Regulation, Spring 2006
- CSE currently has approximately four million end-points deployed throughout the US, controlling approximately 7000 MW of Electric Load Corporate Systems Engineering
- Mapjects Commercial residential and mobile demand response solutions with asset and security situational awareness.
-  Demand response experience in Europe: Policies, programmes and implementation.