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Deep reinforcement learning control of electric vehicle charging in the presence of photovoltaic generation
Related concepts (34)
Optimal control
Optimal control theory is a branch of mathematical optimization that deals with finding a control for a dynamical system over a period of time such that an objective function is optimized. It has numerous applications in science, engineering and operations research. For example, the dynamical system might be a spacecraft with controls corresponding to rocket thrusters, and the objective might be to reach the moon with minimum fuel expenditure.
Energy demand management
Energy demand management, also known as demand-side management (DSM) or demand-side response (DSR), is the modification of consumer demand for energy through various methods such as financial incentives and behavioral change through education. Usually, the goal of demand-side management is to encourage the consumer to use less energy during peak hours, or to move the time of energy use to off-peak times such as nighttime and weekends.
Tesla, Inc.
Tesla, Inc. (ˈtɛslə or ˈtɛzlə ) is an American multinational automotive and clean energy company headquartered in Austin, Texas. Tesla designs and manufactures electric vehicles (cars and trucks), stationary battery energy storage devices from home to grid-scale, solar panels and solar roof tiles, and related products and services. Tesla is one of the world's most valuable companies and, , is the world's most valuable automaker. In 2022, the company led the battery electric vehicle market, with 18% share.
General Motors EV1
The General Motors EV1 was an electric car produced and leased by General Motors from 1996 to 1999. It was the first mass-produced and purpose-designed electric vehicle of the modern era from a major automaker and the first GM car designed to be an electric vehicle from the outset. The decision to mass-produce an electric car came after GM received a favorable reception for its 1990 Impact electric concept car, upon which the design of the EV1 drew heavily.