Mathematical Bureau
Mathematical Modelling In Electricity Market
chuchueva_eng's picture
March 01, 2019
A brief history and a plain description of the time series forecast model on the most similar pattern I developed by 2012 as a heart of the Mathematical Bureau forecast service.
chuchueva_eng's picture
March 01 2019

3. Day ahead price analysis
3.1. Price analysis problem
3.2. Solution
3.2.1. Factors impacting the marginal price
3.2.2. Highlighting the main factors
3.3. Marginal price analysis results
3.3.1. European price zone
3.3.2. Siberian price zone
3.3.3. Thomson Reuters weekly commentary
Conclusion

chuchueva_eng's picture
March 01 2019

2. Trading
2.1. Stages
2.2. Agreement examples
2.3. Consumers day ahead bid
2.4. Supplier day ahead bid
2.4.1. Thermal power plant day ahead bid
2.4.2. Other power plants day ahead bid
2.5. Day ahead auction
2.6. Day ahead auction results
2.7. Day ahead marginal price

chuchueva_eng's picture
March 01 2019

Abstract
Terminology
Introduction
1. Power market
1.1. Basics
1.2. Electricity as a market commodity
1.3. Capacity as a market commodity
1.4. Power trade schemes
1.5. Trade participants
1.5.1. Suppliers
1.5.2. Consumers
1.5.3. Others