With the deregulation of the electric power market in New England, an independent system operator (ISO) has been separated from the New England Power Pool (NEPOOL). The ISO provides a regional spot market, with bids on various electricity-related products and services submitted by utilities and independent power producers. A utility can bid on the spot market and buy or sell electricity via bilateral transactions. Good estimation of market clearing prices (MCP) will help utilities and independent power producers determine bidding and transaction strategies with low risks, and this is crucial for utilities to compete in the deregulated environment. MCP prediction, however, is difficult since bidding strategies used by participants are compli...
In a deregulating power market, bidding decisions rely on good market clearing price predictions. On...
Abstract:- This paper proposes a novel and practical approach to forecast electricity prices with la...
Successfully determining competitive optimal schedules for electricity generation intimately hinges ...
With the deregulation of the electric power market in New England, an independent system operator (I...
Abstract—Market clearing prices (MCPs) play an important role in a deregulated power market, and goo...
Deregulation of the electric power industry worldwide raises many challenging issues. Forecasting th...
Abstract: General analysis of Electricity markets shows that development and improvement of predicti...
Forecasting electricity prices is one of the most important issues in the competitive environment of...
With the emergence of smart power grid and distributed generation technologies in recent years, ther...
With electricity markets birth, electricity price volatility becomes one of the major concerns for t...
Accurate and effective electricity price forecasting is critical to market participants in order to ...
Locational marginal pricing (LMP) is a pricing mechanism used in electricity transmission systems wh...
This thesis reports findings from a number of modern machine learning techniques applied to electric...
Load and Price forecasting play a vital role in enhancing the energy-efficient and reliable operatio...
In a deregulated power market, generating companies (Gencos) evaluate bidding strategies to maximize...
In a deregulating power market, bidding decisions rely on good market clearing price predictions. On...
Abstract:- This paper proposes a novel and practical approach to forecast electricity prices with la...
Successfully determining competitive optimal schedules for electricity generation intimately hinges ...
With the deregulation of the electric power market in New England, an independent system operator (I...
Abstract—Market clearing prices (MCPs) play an important role in a deregulated power market, and goo...
Deregulation of the electric power industry worldwide raises many challenging issues. Forecasting th...
Abstract: General analysis of Electricity markets shows that development and improvement of predicti...
Forecasting electricity prices is one of the most important issues in the competitive environment of...
With the emergence of smart power grid and distributed generation technologies in recent years, ther...
With electricity markets birth, electricity price volatility becomes one of the major concerns for t...
Accurate and effective electricity price forecasting is critical to market participants in order to ...
Locational marginal pricing (LMP) is a pricing mechanism used in electricity transmission systems wh...
This thesis reports findings from a number of modern machine learning techniques applied to electric...
Load and Price forecasting play a vital role in enhancing the energy-efficient and reliable operatio...
In a deregulated power market, generating companies (Gencos) evaluate bidding strategies to maximize...
In a deregulating power market, bidding decisions rely on good market clearing price predictions. On...
Abstract:- This paper proposes a novel and practical approach to forecast electricity prices with la...
Successfully determining competitive optimal schedules for electricity generation intimately hinges ...