Decision-Making Systems in Power System Planning and Operation in the Presence of High Shares of Renewable Energies
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 15740
Special Issue Editors
Interests: power systems analysis; reliable computing; decentralized optimization; self-organizing sensor networks; renewable power generators
Special Issues, Collections and Topics in MDPI journals
Interests: power systems analysis; reliability and resilience in power systems; electricity markets; wind power forecasting; machine learning; stochastic modeling; decision making tools in the presence of uncertainty
Special Issue Information
Dear Colleagues,
The massive penetration of not-programmable Renewable Energy Sources (RESs) in modern power systems still represents a challenge for system operators. Despite the promising results of the last years, many questions remain unanswered. In particular, how to harness the power of Big Data for developing reliable decision-making tools is one of them. In this context, the developed frameworks should deal with the effect of uncertain sources, promoting renewable energy integration in Smart Grids.
Potential topics include but are not limited to the following:
- Deterministic and probabilistic multi-step ahead wind/solar power forecasting, preferably over large scales.
- Novel metrics to assess the impact of renewable energy uncertainty in power systems.
- Data-driven techniques for power system operation and control.
- Decentralized computing in power systems.
- Methodologies for uncertainty management and characterization in power system applications.
- Decision-making tools for planning and operation of power systems in the presence of uncertainty.
Dr. Alfredo Vaccaro
Dr. Fabrizio de Caro
Guest Editors
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Keywords
- decision-making tools
- renewable energies
- wind power forecasting
- solar power forecasting
- data-driven techniques
- planning and operation of power systems
- decentralized computing in smart grids
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