Sustainable Energy Management Of Institutional Buildings Through Load Prediction Models
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Sustainable Energy Management Of Institutional Buildings Through Load Prediction Models
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Author : Idelfonso B. R. Nogueira
language : en
Publisher:
Release Date : 2019
Sustainable Energy Management Of Institutional Buildings Through Load Prediction Models written by Idelfonso B. R. Nogueira and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.
Institutional buildings need smart techniques to predict the energy consumption in a smart grids,Äô framework. Here, the importance of dynamic load forecasting as a tool to support the decision in smart grids is addressed. In addition, it is reviewed the energy consumption patterns of institutional buildings and the state-of-the-art of load forecast modeling using artificial neural networks. The discussion is supported by historical data from energy consumption in a university building. These data are used to develop a reliable model for the prediction of the electric load in a campus. A neural network model was developed, which can forecast the load with an average error of 6.5%, and this model can also be used as a decision tool to assess the convenience of supplying this load with a set of renewable energy sources. Statistical data that measure the availability of the local renewable sources can be compared with a load model in order to assess how well these energy sources match the energy needs of buildings. This novel application of load models was applied to the campus where a good correlation (Pearson coefficient of 0.803) was found between energy demand and the availability of the solar resource in the campus.
Ai And Learning Systems
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Author : Konstantinos Kyprianidis
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-02-17
Ai And Learning Systems written by Konstantinos Kyprianidis and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-17 with Technology & Engineering categories.
Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI
Conceptual Database Modeling For Integrated Energy Management In Institutional Buildings
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Author : Karun Malhotra
language : en
Publisher:
Release Date : 2001
Conceptual Database Modeling For Integrated Energy Management In Institutional Buildings written by Karun Malhotra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Architecture and energy conservation categories.
Automated Machine Learning
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Author : Frank Hutter
language : en
Publisher: Springer
Release Date : 2019-05-17
Automated Machine Learning written by Frank Hutter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Computers categories.
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
Guidelines For Community Energy Planning
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Author : Hang Yu
language : en
Publisher: Springer Nature
Release Date : 2019-09-12
Guidelines For Community Energy Planning written by Hang Yu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-12 with Science categories.
This book systematically introduces readers to the operator method, which can be used in different stages of urban planning. Energy planning should ideally be accompanied by urban planning, ranging from comprehensive planning and detailed planning, to the design of individual construction projects. This book discusses a range of methods and models for defining energy planning objectives; analyzing and predicting energy demand; assessing available energy resources; optimizing integrated energy systems; analyzing the cost-effectiveness of proposals; implementation management; and post-assessment. Part one focuses on energy planning in different urban planning stages, while part two provides detailed discussions of key issues related to energy planning.
Intelligent Learning Approaches For Renewable And Sustainable Energy
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Author : Josep M. Guerrero
language : en
Publisher: Elsevier
Release Date : 2024-02-21
Intelligent Learning Approaches For Renewable And Sustainable Energy written by Josep M. Guerrero and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-21 with Computers categories.
Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. Explores cutting-edge intelligent techniques and their implications for future energy systems development Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more Includes a range of case studies that provide insights into the challenges and solutions in real-world applications
Data Driven Models Applied In Building Load Forecasting For Residential And Commercial Buildings
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Author : SM Mahbobur Rahman
language : en
Publisher:
Release Date : 2015
Data Driven Models Applied In Building Load Forecasting For Residential And Commercial Buildings written by SM Mahbobur Rahman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Commercial buildings categories.
A significant portion of the operating costs of utilities comes from energy production. Machine learning methods are widely used for short-term load forecasts for commercial buildings and also the utility grid. These forecasts are used to minimize unit power production costs for the energy managers for better planning of power units and load management. In this work, three different state-of-art machine learning methods i.e. Artificial Neural Network, Support Vector Regression and Gaussian Process Regression are applied in hour ahead and 24 –hour ahead building energy forecasting. The work uses four residential buildings and one commercial building located in Downtown, San Antonio as test-bed using energy consumption data from those buildings monitored in real-time. Uncertainty quantification analysis is conducted to understand the confidence in each forecast using Bayesian Network. Using a combination of weather variables and historical load, forecasting is done in a supervised way based on a moving window training algorithm. A range of comparisons between different forecasting models in terms of relative accuracy are then presented.
Deep Learning Technologies For The Sustainable Development Goals
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Author : Virender Kadyan
language : en
Publisher: Springer Nature
Release Date : 2023-02-01
Deep Learning Technologies For The Sustainable Development Goals written by Virender Kadyan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-01 with Technology & Engineering categories.
This book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development.
Energy Internet
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Author : Ahmed F Zobaa
language : en
Publisher: Springer Nature
Release Date : 2020-06-17
Energy Internet written by Ahmed F Zobaa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Technology & Engineering categories.
This textbook is the first of its kind to comprehensively describe the energy Internet, a vast network that efficiently supplies electricity to anyone anywhere and is an internet based wide area network for information and energy fusion. The chapters are organized into five parts: Architecture and Design, Energy Switching and Routing, Information and Communication, Energy Management Systems and Energy Market and Trading, and capture the spectrum of this exponential transformation, while also presenting the plethora of open problems that this transformation poses for researchers from mixed academic backgrounds. The scope includes key technologies on distributed energy sources, microgrids, energy storage, solar and wind energy, power grid, smart grid, power quality, power electronics, data centers, distributed computing and networking, cloud computing and big data, and software-defined networking. The book presents the basic principles of energy internet and emphasizes the current research trends in the field of energy Internet at an advanced level. It includes instructor materials, case-studies, and worked examples throughout. This is an ideal resource for students in advanced graduate-level courses and special topics in energy, information and control systems, and is a useful tool for utility engineers who seek an intuitive understanding of the emerging applications of energy Internet.
Proceedings Of The 24th International Symposium On Advancement Of Construction Management And Real Estate
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Author : Gui Ye
language : en
Publisher: Springer Nature
Release Date : 2021-06-07
Proceedings Of The 24th International Symposium On Advancement Of Construction Management And Real Estate written by Gui Ye and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-07 with Business & Economics categories.
This book covers various current and emerging topics in construction management and real estate. Papers selected in this book cover a wide variety of topics such as new-type urbanization, planning and construction of smart city and eco-city, urban–rural infrastructure development, land use and development, housing market and housing policy, new theory and practice of construction project management, big data application, smart construction and BIM, international construction (i.e., belt and road project), green building, off-site prefabrication, rural rejuvenation and eco-civilization and other topics related to construction management and real estate. These papers provide useful references to both scholars and practitioners. This book is the documentation of “The 24th International Symposium on Advancement of Construction Management and Real Estate,” which was held in Chongqing, China.