Probabilistic Characterization of Thermostatically Controlled Loads to Model the Impact of Demand Response Programs

By Á. Molina-García, Mathieu Kessler, J. Fuentes, E. Gómez-Lázaro. IEEE Transactions on Power Systems, 2011

101 citations recorded by the source corpus.

Subfields: Building and Construction, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9a2f0f9d961a0bb598d7d118c2db412d42e2646a

How researchers see this paper

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

In Building and Construction

1. R. Shereef
2. Shrikrishna A. Khaparde
3. Vedanta Pradhan
4. V. M. Murthy Balijepalli

In Electrical and Electronic Engineering

1. Johanna L. Mathieu
2. Duncan S. Callaway
3. R. Shereef
4. Shrikrishna A. Khaparde
5. Vedanta Pradhan
6. V. M. Murthy Balijepalli
7. He Hao

Citations in the corpus

• Review of demand response under smart grid paradigm (2011, background): “In [63] different aggregation techniques for estimation of probability distribution function of thermal and electrical variables of aggregated thermostatically controlled loads whose behaviour is modeled as stochastic differential equation system based on perturbed physical models.”
• State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance (2013, result): “This is in contrast to previous work that has either addressed parameter heterogeneity by simulation [15], [16], or assumed homogeneity [17]–[20].”