Forecasting and Risk Management Techniques for Electricity Markets
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "C: Energy Economics and Policy".
Deadline for manuscript submissions: closed (20 April 2022) | Viewed by 43048
Special Issue Editor
Interests: electricity market; weather derivatives; financial risk management and hedging; optimization and control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Electricity market participants are exposed to many sources of risk. For example, due to the rapid introduction of solar power and other renewable electricity generation, there is a growing impact of weather and climate changes on electricity markets for both price and volume executions. On the other hand, the system operator (or an aggregator in the region) needs to adjust the imbalance using a backup thermal generation system to match real-time power production with demand, which varies with, e.g., temperature, humidity, and other conditions. This requirement leads to an additional cost or a loss for both/either consumers and/or power producers in the network. The use of thermal power also provides another source of uncertainty in electricity markets, as the generation cost largely depends on fuel prices and type of energy. Under these circumstances, forecasting, and risk management techniques have become one of the most important issues for traditional electricity markets as well as recently developed peer-to-peer (P2P) trading systems.
In this Special Issue, we invite papers exploring solar power and demand forecasting, trading and hedging strategies, risk management techniques, and case studies for electricity markets including decentralized P2P trading. Topics of interest for publication include, but are not limited to the following:
- Solar power forecast methods and trading strategy;
- Risk management techniques using financial instruments and/or weather derivatives;
- P2P trading systems/networks and blockchain transactions;
- Demand forecast and optimal consumption/power generation models;
- Trading strategy of solar power output with storage/battery/EV systems;
- Optimal network operation including renewable energy and power storage systems;
I am looking forward to your contributions.
Prof. Dr. Yuji Yamada
Guest Editor
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Keywords
- Solar power/demand forecasting
- Risk management techniques
- P2P trading systems/networks
- Decentralized electricity market
- Weather derivatives and other derivative contracts
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