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  2. Smart grid - Wikipedia

    en.wikipedia.org/wiki/Smart_grid

    The earliest, and one of the largest, example of a smart grid is the Italian system installed by Enel S.p.A. of Italy. Completed in 2005, the Telegestore project was highly unusual in the utility world because the company designed and manufactured their own meters, acted as their own system integrator, and developed their own system software.

  3. Classical conditioning - Wikipedia

    en.wikipedia.org/wiki/Classical_conditioning

    Classical conditioning occurs when a conditioned stimulus (CS) is paired with an unconditioned stimulus (US). Usually, the conditioned stimulus is a neutral stimulus (e.g., the sound of a tuning fork), the unconditioned stimulus is biologically potent (e.g., the taste of food) and the unconditioned response (UR) to the unconditioned stimulus is an unlearned reflex response (e.g., salivation).

  4. Watts–Strogatz model - Wikipedia

    en.wikipedia.org/wiki/Watts–Strogatz_model

    Watts–Strogatz small-world model generated by igraph and visualized by Cytoscape 2.5. 100 nodes. The Watts–Strogatz model is a random graph generation model that produces graphs with small-world properties, including short average path lengths and high clustering.

  5. Smart grids by country - Wikipedia

    en.wikipedia.org/wiki/Smart_grids_by_country

    The term smart grid is most commonly defined as an electric grid that has been digitized to enable two way communication between producers and consumers. [1] The objective of the smart grid is to update electricity infrastructure to include more advanced communication, control, and sensory technology with the hope of increasing communication between consumers and energy producers.

  6. Second-order conditioning - Wikipedia

    en.wikipedia.org/wiki/Second-order_conditioning

    An example of second-order conditioning. In classical conditioning, second-order conditioning or higher-order conditioning is a form of learning in which a stimulus is first made meaningful or consequential for an organism through an initial step of learning, and then that stimulus is used as a basis for learning about some new stimulus.

  7. Rescorla–Wagner model - Wikipedia

    en.wikipedia.org/wiki/Rescorla–Wagner_model

    Van Hamme and Wasserman have extended the original Rescorla–Wagner (RW) model and introduced a new factor in their revised RW model in 1994: [3] They suggested that not only conditioned stimuli physically present on a given trial can undergo changes in their associative strength, the associative value of a CS can also be altered by a within-compound-association with a CS present on that trial.

  8. Abelian sandpile model - Wikipedia

    en.wikipedia.org/wiki/Abelian_sandpile_model

    The extended sandpile model is defined nearly exactly the same as the usual sandpile model (i.e. the original Bak–Tang–Wiesenfeld model [1]), except that vertices at the boundary of the grid are now allowed to carry a non-negative real number of grains. In contrast, vertices in the interior of the grid are still only allowed to carry ...

  9. Smart grid policy of the United States - Wikipedia

    en.wikipedia.org/wiki/Smart_grid_policy_of_the...

    The purpose of the Smart Grid task force is to undertake research and development about the smart grid, developing relevant standards and protocols, defining the relationship between smart grid technologies and practices and current electric utility regulation, as well as researching the development of smart grid infrastructure. [14]