Economic Impact of Electricity Market Price Forecasting Errors: A Demand-Side Analysis

By H. Zareipour, Claudio A. Cañizares, Kankar Bhattacharya. IEEE Transactions on Power Systems, 2010

118 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d45d5d0fd018b45e878b6d5b931f484c802627dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Rafal Weron
2. Tao Hong
3. H. Zareipour
4. Pierre Pinson
5. Dazhi Yang
6. Yi Wang
7. Ming Jin
8. Costas J. Spanos

Citations in the corpus

• Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives (2016, background): “However, this assumption is rarely valid, especially in the case of spot electricity prices, which are very difficult to forecast (Zareipour et al., 2010).”
• MOD-DR: Microgrid optimal dispatch with demand response (2017, background): “This result is in alignment with the findings from [22,32]; however, their studies incorporated the situation with only electricity loads and no distributed generation capacity, and the forecasting errors were simulated from a noise model.”
• Energy Forecasting: A Review and Outlook (2020, background): “It was demonstrated in [113] that measuring the economic”
• Variance Stabilizing Transformations for Electricity Spot Price Forecasting (2018, unknown): “The t-PIT transformation, on the other hand, has not been used in EPF before.”