Electricity price forecasting is an essential task in all the deregulated markets of world. The accurate prediction day-ahead electricity prices active research field and available data from various can be used as input for forecasting. A collection models have been proposed this task, but fundamental question on how to use big often neglected. In paper, we propose transfer learning a tool util...

We formulate an equilibrium model of intraday trading in electricity markets. Agents face balancing constraints between their customers consumption plus sales and production purchases. They have continuously updated forecast at maturity. Forecasts are prone to idiosyncratic noise common (weather). capacities subject independent random outages, which each modeled by a Markov chain. The price is ...

In this paper we discuss the problem of power generation capacity adequacy in restructured and competitive power systems and analyse potential regulatory mechanisms to ensure sufficient supply of electricity. In particular, we look at how uncertainty influences the optimal timing of investments in new power generation capacity. We formulate the power generation investment problem for a decentra...

a r t i c l e i n f o Keywords: Hurst exponent Nonlinear dynamics Chaos Offer behavior Locational marginal price (LMP) In electricity markets where supply and demand drives the price for the purchase and sale of electricity, generating firms change capacity for various reasons including load level, policy, and varying market conditions. These types of fluctuating production patterns can result ...

Novel energy-aware cloud management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a managed virtual machine (VM) may suffer occasional downtimes. Current cloud providers only offer high availability VMs, without enough flexibility to apply such energyaware management. In ...

The integration of intermittent resources of power generation, such as wind and solar, will lead to unprecedented energy price fluctuations and increasing price uncertainty. Besides improving forecasting, electricity retailers can meet this challenge by partly adopting the demand side of the electricity markets to the fluctuating supply side. The necessary communication infrastructure for this ...

The intermittent nature of the renewable energies increases the operation costs of conventional generators. As the share of energy supplied by renewable sources increases, these costs also increase. In this paper, we quantify these costs by developing a market clearing price of energy in the presence of renewable energy and congestion constraints. We consider an electricity market where generat...

During the summer (2000), wholesale electricity prices in California were approximately 500% higher than those during the same months in 1998-1999. The price hike was unexpected by many policy makers and individuals who were involved in the electric utility industry. They have been long wondering whether the electricity deregulation policy (1996) produced benefits of competition promised to con...