Bilgisayar Bilimleri, cilt.1, sa.1, ss.21-31, 2022 (Hakemli Dergi)
Demand-side load management (DSLM), load forecasting, and dynamic energy pricing are critical in
smart grids (SG) where there is mutual communication between manufacturers and consumers today and in the
future. The transmission of signals obtained with dynamic energy pricing via servers is a very important topic for
demand management and the energy market. Despite the distributed generation conditions, the energy balance is
maintained by the demand side management during dynamic studies based on energy prices. With the dynamic
structure of energy price signals and load forecasting, uncertainties arising from distributed generation are
responded to. This study details demand response (DR) methods and smart pricing plans such as time-of-use
(ToU), critical peak price (CPP), and real-time price (RTP). Studies, advantages, and disadvantages of smart grids
are examined, and smart tariff plans are compared.