Jai Govind Singh - Böcker

Forecasting Methods for Renewable Power Generation is an essential resource for both professionals and students, providing in-depth insights into vital forecasting techniques that enhance grid stability, optimize resource management, and enable effective electricity pricing strategies. It is a must-have reference for anyone involved in the clean energy sector. Forecasting techniques in renewable power generation, demand response, and electricity pricing are vital for grid stability, optimal resource allocation, efficient energy management, and cost-effective electricity supply. They enable grid operators and market participants to make informed decisions, mitigate risks, and enhance the overall reliability and sustainability of the electrical grid. Electricity prices can vary significantly based on supply and demand dynamics. By forecasting expected demand and the availability of generation resources, market operators can optimize electricity pricing strategies. This alignment of prices with anticipated supply-demand balance incentivizes the efficient use of electricity and promotes market efficiency. Accurate forecasting helps prevent price spikes, reduces market uncertainties, and supports the development of effective energy trading strategies. This book presents these topics and trends in an encyclopedic format, serving as a go-to reference for engineers, scientists, or students interested in the subject. The book is divided into three easy-to-navigate sections that thoroughly examine the AI and machine learning-based algorithms and pseudocode considered in this study. This is the most comprehensive and up-to-date encyclopedia of forecasting in renewable power generation, demand response, and electricity pricing ever written, and is a must-have for any library.

Comprehensive reference on multi energy hub (MEH) modeling, management, protection, and trading across energy exchange markets with supporting case studies Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies discusses the complex exchange process across different sources within an evolving set of technologies, presenting multi-vectored energy hub (MV-EH) modeling techniques and associated energy management strategies for their network architecture. This includes in-depth assessments of advanced energy conversion technologies, market mechanisms, and transactive energy management to ensure robust and flexible energy-sharing mechanisms. The book focuses on renewable energy integration in MV-EHs, advanced energy storage, and advance energy conversion technologies. Later chapters cover detailed analyses of Power-to-X (P2X) technologies, bioenergy integration, and emerging challenges in high-renewable penetration in energy hubs. Case studies of MV-EHs explore the latest advancements such as the carbon tax mechanism, carbon trading strategies, the role of hydrogen generation, and carbon storage to enhance MV-EH performance. Readers will find insights into the integration of carbon reduction techniques (CDR) and emission trading mechanisms, along with the role of bioenergy in building the low emission energy systems. Mathematical models of various new energy conversion systems such as power to gas (P2X), hydrogen storage, and hydrogen usage are also explored. Edited by a team of highly qualified authors, this book covers additional topics such as: Types of frameworks to manage network energy hubs, cooperative and non-cooperative strategies, and centralized, decentralized, and distributed system architecturesAdvanced energy conversion units such as electric heat pumps, combined heat and power units, gas boilers, absorption chillers, electric chillers, and energy storage unitsThe role of bioenergy, power-to-X, hydrogen, carbon reduction techniques (CDR), carbon taxes, carbon market, and trading strategies in achieving low energy systemsTechnologies to enhance flexibility in MEHs such as electrical, heating, cooling, and community demand response programsThe impact of high or full share of renewables and load-side uncertainties on MV-EH operationsDelivering a thorough understanding of networked multi-vectored energy systems, and their role in sustainable energy transitions, Energy Management Strategies for Multi-Vectored Energy Hubs to Achieve Low Carbon Societies is an essential reference for engineers, researchers, and graduate students developing energy systems, smart grids, and decarbonization strategies.