Energy Management Collective And Computational Intelligence With Theory And Applications
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Energy Management—Collective and Computational Intelligence with Theory and Applications
This book presents a selection of recently developed collective and computational intelligence techniques, which it subsequently applies to energy management problems ranging from performance analysis to economic analysis, and from strategic analysis to operational analysis, with didactic numerical examples. As a form of intelligence emerging from the collaboration and competition of individuals, collective and computational intelligence addresses new methodological, theoretical, and practical aspects of complex energy management problems. The book offers an excellent reference guide for practitioners, researchers, lecturers and postgraduate students pursuing research on intelligence in energy management. The contributing authors are recognized researchers in the energy research field.
Optimization and Decision-Making in the Renewable Energy Industry
With immense consumption of resources, increased global warming, and environmental pollution, the energy sector has inevitably embraced sustainability. Countries are releasing plans and programs to shift their fossil fuel-dependent energy sectors into clean energy sectors, and projections show that renewable energy will be a significant part of nations’ energy mixes in the near future. Optimization and decision-making techniques have been commonly used in the energy sector as problems encountered in this sector are complex and therefore need comprehensive techniques to solve them. With the uncertainty and high-cost issues of renewable resources, the complexity increases in the sector and requires optimization and decision-making techniques. Optimization and Decision-Making in the Renewable Energy Industry analyzes renewable energy sources using current mathematical methods and techniques and provides advanced knowledge on key opportunities and challenges. The book discusses current and trending mathematical methods, tests their validity and verification, and considers their practical application in the field. Covering topics such as urban sustainability and renewable energy systems, this reference work is ideal for practitioners, academicians, industry professionals, researchers, scholars, instructors, and students.
Blockchain Technology and Applications for Digital Marketing
Blockchain is a digital, decentralized technology that is continually growing and making quite a mark in digital marketing. Blockchain has brought a drastic change to technology in the last few years, and it is referred to as distributed ledger technology (DLT), which makes the historical backdrop of any computerized resource unalterable and straightforward using decentralization and cryptographic hashing. Blockchain is transforming digital marketing by removing companies’ abilities to pull data from customers without also offering to reimburse them for its value. Marketers can leverage the technology’s positive attributes that customers are searching for in today’s digital landscape, both in transparency and data protection. In terms of digital marketing, blockchain is one of the most important topics for its applications in the marketing field. Blockchain Technology and Applications for Digital Marketing provides insights on blockchain technology and its applications in digital marketing. This book grants a comprehensive understanding of how this technology is functioning within modern marketing and how it can influence the future of the digital marketing industry. The chapters cover the applications of blockchain, benefits and challenges, disruptive innovations in digital marketing, privacy and security concerns, and the recent trends of blockchain in digital marketing. It is ideally intended for marketers, advertisers, brand managers, executives, managers, IT specialists and consultants, researchers, businesses, practitioners, stakeholders, academicians, and students interested in blockchain technology and its role in digital marketing.