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For a lot of us, selling feels icky. Our stomachs tighten at the thought of reciting features and benefits, or pressuring customers into purchasing. It's really not our fault. We weren't taught how to sell, plus we've been sold before, leaving us with a bitter taste. Here's the truth: sales does not have to feel icky for you or your customers. In fact, with the right approach, sales can be an empowering experience for all. Bob Moesta, lifelong innovator and coarchitect of the "Jobs to be Done" theory, shares his approach for flipping the lens on sales. Bob shifts the focus of sales from selling, to helping people buy and make progress in their lives-demand-side sales.  Now, in Demand-Side Sales 101, you'll learn to really see what your customers see, hear what they hear, and understand what they mean. You'll not only be a more effective and innovative salesperson-you'll want to help people make progress.
The present book focuses on recent advances methods and applications in photovoltaic (PV) systems. The book is divided into two parts: the first part deals with some theoretical, simulation and experiments on solar cells, including efficiency improvement, new materials and behavior performances. While the second part of the book devoted mainly on the application of advanced methods in PV systems, including advanced control, FPGA implementation, output power forecasting based artificial intelligence technique (AI), high PV penetration, reconfigurable PV architectures and fault detection and diagnosis based AI. The authors of the book trying to show to readers more details about some theoretical methods and applications in solar cells and PV systems (eg. advanced algorithms for control, optimization, power forecasting, monitoring and fault diagnosis methods). The applications are mainly carried out in different laboratories and location around the world as projects (Algeria, KSA, Turkey, Morocco, Italy and France). The book will be addressed to scientists, academics, researchers and PhD students working in this topic. The book will help readers to understand some applications including control, forecasting, monitoring, fault diagnosis of photovoltaic plants, as well as in solar cells such as behavior performances and efficiency improvement. It could be also be used as a reference and help industry sectors interested by prototype development.
Integrated Resource Strategic Planning and Power Demand-Side Management elaborates two important methods - Integrated Resource Strategic Planning (IRSP) and Demand Side Management (DSM) - in terms of methodology modeling, case studies and lessons learned. This book introduces a prospective and realistic theory of the IRSP method and includes typical best practices of DSM for energy conservation and emission reduction in different countries. It can help energy providers and governmental decision-makers formulate policies and make plans for energy conservation and emission reduction, and can help power consumers reduce costs and participate in DSM projects. Zhaoguang Hu is the vice president and chief energy specialist at the State Grid Energy Research Institute, and the head of the Power Supply and Demand Research Laboratory in China.
This thesis deals with two important and very timely aspects of the future power system operation - assessment of demand flexibility and advanced demand side management (DSM) facilitating flexible and secure operation of the power network. It provides a clear and comprehensive literature review in these two areas and states precisely the original contributions of the research. The book first demonstrates the benefits of data mining for a reliable assessment of demand flexibility and its composition even with very limited observability of the end-users. It then illustrates the importance of accurate load modelling for efficient application of DSM and considers different criteria in designing DSM programme to achieve several objectives of the network performance simultaneously. Finally, it demonstrates the importance of considering realistic assumptions when planning and estimating the success of DSM programs. The findings presented here have both scientific and practical significance; they gained her BSc and MSc degrees in electrical engineering from the University of Belgrade in 2011 and 2012 respectively. She graduated with her PhD from the University of Manchester. She has presented at several conferences, and has won runner-up prizes in poster presentation at three. She has authored or co-authored more than 40 journal, conference and technical papers.provide a basis for further research, and can be used to guide future applications in industry.
Energy Smart Appliances Enables designers and manufacturers to manage real-world energy performance and expectations by covering a range of potential scenarios and challenges Energy Smart Appliances provides utilities and appliance manufacturers, and designers with new approaches to better understand real-world performance, assess actual energy benefits, and tailor each technology to the needs of their customers. With contributions from a fully international group of experts, including heads of prestigious research organizations and leading universities, and innovation managers of the main appliance manufacturers, Energy Smart Appliances includes discussion on: Enabling technologies for energy smart appliances, covering IoT devices and technology and active energy efficiency measures in residential environments Smart home and appliances, answering questions like ‘Where are we heading in terms of the overall smart homes’ future?’ and ‘What’s the energy impact from smart home devices?’ Demand-side management and demand response, covering overall system/ appliances readiness and ideal energy management scenario to drive demand response Energy smart appliances’ best practices and success stories, including refrigerators, washers, dryers, and more With practical coverage of a wide range of potential scenarios and existing and future challenges, Energy Smart Appliances is an essential learning resource for electrical engineering professionals, equipment manufacturers, and designers, along with postgraduate electrical engineering students and researchers in related fields and programs of study.
Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.
Smart Grids as Cyber Physical Systems, a new two-volume set from Wiley-Scrivener, provides a comprehensive overview of the fundamental security of supervisory control and data acquisition (SCADA) systems, offering clarity on specific operating and security issues that may arise that deteriorate the overall operation and efficiency of smart grid systems. It also provides techniques to monitor and protect systems, as well as aids for designing a threat-free system. This title discusses how artificial intelligence (AI) may be extensively deployed in the prediction of energy generation, electric grid-related line loss prediction, load forecasting, and for predicting equipment failure prevention. It also discusses power generation systems, building service systems, and explores advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms. Additionally, we will explore research contribution of experts in CPS infrastructure systems, incorporating sustainability by embedding computing and communication in day-to-day smart grid applications. This book will be of immense use to practitioners in industries focusing on adaptive configuration and optimization in smart grid systems. Through case studies, it offers a rigorous introduction to the theoretical foundations, techniques, and practical solutions CPS offers. Building CPS with effective communication, control, intelligence, and security is discussed from societal and research perspectives and a forum for researchers and practitioners to exchange ideas and achieve progress in CPS is provided by highlighting applications, advances, and research challenges. This book offers a comprehensive look at ICS cyber threats, attacks, metrics, risk, situational awareness, intrusion detection, and security testing, providing a valuable reference set for current system owners who wish to configure and operate their ICSs securely.
This book elucidates the intricacies and obscurities of graduate enrollment management, allowing scholars and professionals to advance research and practice in the field. Masterfully drawing upon scholarly and applied literatures pertaining to graduate admissions, marketing, strategic planning, and more, chapters present original empirical research and practical case studies that offer readers plentiful strategies, models, and frameworks for approaching graduate enrollment management at their own institutions. This guidebook positions higher education leaders, scholars, and graduate enrollment professionals to effectively address challenges that inhibit the work of increasing equity in graduate education and improving graduate student outcomes.
This book analyzes the economic and technical effects of demand response programs in smart grids. A variety of operational and financial benefits are offered by demand response programs (DRPs) for load-serving entities, grid operators, and electricity consumers. The most notable advantages of DRPs are presented in this book, including decreased electricity prices, risk management, market power mitigation, and flexibility of market operations. In-depth chapters discuss the integration of demand response programs for the planning and operation of smart grids and explore the uncertainties of market prices, renewable resources and intermittent load management, making this a useful reference for a variety of different organizations and players in the electricity market, such as reliability organizations, distribution companies, transmission companies, and electric end-users.