Price-Responsive Demand Management for a Smart Grid World

By Hung-Po Chao. 2010

165 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/1b41fd709a91c689c3a74ee16ffb083a3ce31f93

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Matteo Muratori
2. C. Clastres
3. Haikel Khalfallah
4. Claire Bergaentzlé
5. Carlo Cecati
6. Giorgio Rizzoni
7. Hung-Po Chao
8. Pierluigi Siano

In Management Information Systems

1. C. Clastres
2. Giorgio Rizzoni
3. Matteo Muratori

In Strategy and Management

1. C. Clastres
2. Giorgio Rizzoni
3. Matteo Muratori
4. Joseph Z. Shyua
5. Chen-Chun Lin
6. Chia-Han Yang

Citations in the corpus

• A comparison of innovation policy in the smart grid industry across the pacific: China and the USA (2013, background): “…have smart grid studies focused primarily on the issues of energy efficiency, benefits, the management system, smart grid security and business (Chao, 2010; Jackson, 2010; Wade et al., 2010; Perry, 2009; Hledik, 2009; Renewable Energy Focus, 2008); some policies in specific countries (Wissner,…”
• Demand response in wholesale electricity markets: the choice of customer baseline (2011, background): “The proposed policy is to develop a unified economic DR program that requires the ISOs and RTOs to pay demand-response providers, in all hours, the wholesale energy market price for demand reductions (FERC 2008, 2010; Chao 2010 ).”
• Combined Operations of Renewable Energy Systems and Responsive Demand in a Smart Grid (2011, background): “As a consequence, the peak demand can be decreased and the additional generation and transmission infrastructures may be avoided or reduced [20] and new eco-friendly standard of living encouraged [21].”
• Chapter 3 – The Ethics of Dynamic Pricing (2010, unknown): “For example, the preferred baseline may be zero for a consumer with a flat consumption profile and higher for a consumer with a peaky consumption profile [23].”
• Residential Demand Response: Dynamic Energy Management and Time-Varying Electricity Pricing (2016, background): “The most common pricing structures include time of use pricing (TOU), critical peak pricing (CPP), peak time rebates (PTRs), or real time pricing (RTP) [13]–[16].”
• Demand-side management and European environmental and energy goals: an optimal complementary approach (2014, background): “As underlined by many authors (Borenstein, 2002; Borenstein et al., 2002; Borenstein, 2005; Chao, 2010; Faruqui et al., 2007; Haney et al., 2009; Hogan, 2009), demand response (DR) can yield significant economic and environmental gains.”
• A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “that enables the switch from a fixed retail rate to a more dynamic pricing [231].”
• Aggregate Flexibility of Thermostatically Controlled Loads (2015, background): “While there is considerable literature on indirect load control through price proxies [20], [21], it is to our view that these schemes are less reliable, as resource availability and tracking accuracy of a dispatch signal are not guaranteed [22].”