Industrial Demand Response

Chapter 1: A comprehensive review on industrial demand response strategies and applications
Chapter 2: Demand response cybersecurity for power systems with high renewable power share
Chapter 3: Recurrent neural networks for electrical load forecasting to use in demand response
Chapter 4: Optimal demand response strategy of an industrial customer
Chapter 5: Price-based demand response for thermostatically controlled loads
Chapter 6: Electric vehicle massive resources mining and demand response application
Chapter 7: Demand response measurement and verification approaches: analyses and guidelines
Chapter 8: Transactive energy industry demand response management market
Chapter 9: Industrial demand response opportunities with residential appliances in smart grids
Chapter 10: Modelling and optimal scheduling of flexibility in energy-intensive industry
Chapter 11: Industrial demand response: coordination with asset management
Chapter 12: A machine learning-based approach for industrial demand response
Chapter 13: Feasibility assessment of industrial demand response
Chapter 14: Measurement and verification of demand response: the customer load baseline
Chapter 15: Modeling and optimizing the value of flexible industrial processes in the UK electricity market
Chapter 16: Case study of Aran Islands: optimal demand response control of heat pumps and appliances
Chapter 17: Use case of artificial intelligence, and neural networks in energy consumption markets, and industrial demand response

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• Geração e distribuição de energia
• Redes, sistemas, estações e centrais de energia

demand side management; smart power grids; energy resources; electric vehicles; learning (artificial intelligence); renewable energy sources; power markets; energy storage; power engineering computing; power supply quality