This book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal, in September 2015.
Author: Wei Lee Woon
This book constitutes revised selected papers from the third ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2015, held in Porto, Portugal, in September 2015. The 10 papers presented in this volume were carefully reviewed and selected for inclusion in this book.
This collection includes papers presented at DARE 2018: the 6th International
Workshop on Data Analytics for Renewable Energy Integration, which was
hosted by ECML PKDD 2018. Climate change, energy security, and sustainability
Author: Wei Lee Woon
This book constitutes the revised selected papers from the 6th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2018, held in Dublin, Ireland, in September 2018. The 9 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response, and many others.
analysis and power loss prediction. Experiments were performed to evaluate big data processing efficiency and wind analytics at several areas in Egypt, where
OFMR reaches >90% in efficient processing time. DROA ARs generates ...
Author: Wei Lee Woon
This book constitutes revised selected papers from the 5th ECML PKDD Workshop on Data Analytics for Renewable Energy Integration, DARE 2017, held in Skopje, Macedonia, in September 2017. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as time series forecasting, the detection of faults, cyber security, smart grid and smart cities, technology integration, demand response and many others.
A very recent study by National Renewable Energy Lab (NREL), namely Western
Wind and Solar Integration Study Phase 2, determined that up to 33% wind and solar energy production in the Western grid of the United States would avoid ...
Author: Lei Yang
This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. It explores techniques for efficiently integrating renewable energy generation into bulk power grids. The operational challenges of wind, and its variability are carefully examined. A spatio-temporal analysis approach enables the authors to develop Markov-chain-based short-term forecasts of wind farm power generation. To deal with the wind ramp dynamics, a support vector machine enhanced Markov model is introduced. The stochastic optimization of economic dispatch (ED) and interruptible load management are investigated as well. Spatio-Temporal Data Analytics for Wind Energy Integration is valuable for researchers and professionals working towards renewable energy integration. Advanced-level students studying electrical, computer and energy engineering should also find the content useful.
... Sports Analytics; New Frontiers in Mining Complex Pattern; Data Analytics for Renewable Energy Integration; and Real–World Challenges for Data Stream
Mining. Eight tutorials completed the program: Multi–Agent Reinforcement
Author: Hendrik Blockeel
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.
Helping readers quickly grasp the essential information needed to address renewable energy integration challenges, this new book looks at basic power system mathematical models, advanced renewable integration and system optimizations from ...
Author: Huaiguang Jiang
Publisher: Academic Press
Category: Technology & Engineering
New Technologies for Power System Operation and Analysis considers the very latest developments in renewable energy integration and system operation, including electricity markets and wide-area monitoring systems and forecasting. Helping readers quickly grasp the essential information needed to address renewable energy integration challenges, this new book looks at basic power system mathematical models, advanced renewable integration and system optimizations from transmission and distribution system sides. Sections cover wind, solar, gas and petroleum, making this a useful reference for all engineers interested in power system operation. Includes codes in MATLAB® and Python Provides a complete analysis of all new and relevant power system technologies Covers the impact on existing power system operations at the advanced level, with detailed technical insights
With more and more renewable energy integrated into power systems, it has
become an attractive option to use electric vehicles (EVs) to ... The actual data for
four months in 2008 in Germany and Sweden were used to do the analysis.
Author: Qiuwei Wu
Publisher: John Wiley & Sons
Category: Technology & Engineering
Presenting the policy drivers, benefits and challenges for grid integration of electric vehicles (EVs) in the open electricity market environment, this book provides a comprehensive overview of existing electricity markets and demonstrates how EVs are integrated into these different markets and power systems. Unlike other texts, this book analyses EV integration in parallel with electricity market design, showing the interaction between EVs and differing electricity markets. Future regulating power market and distribution system operator (DSO) market design is covered, with up-to-date case studies and examples to help readers carry out similar projects across the world. With in-depth analysis, this book describes: the impact of EV charging and discharging on transmission and distribution networks market-driven EV congestion management techniques, for example the day-ahead tariff based congestion management scenario within electric distribution networks optimal EV charging management with the fleet operator concept and smart charging management EV battery technology, modelling and tests the use of EVs for balancing power fluctuations from renewable energy sources, looking at power system operation support, including frequency reserve, power regulation and voltage support An accessible technical book for power engineers and grid/distributed systems operators, this also serves as a reference text for researchers in the area of EVs and power systems. It provides distribution companies with the knowledge they need when facing the challenges introduced by large scale EV deployment, and demonstrates how transmission system operators (TSOs) can develop the existing system service market in order to fully utilize the potential of EV flexibility. With thorough coverage of the technologies for EV integration, this volume is informative for research professors and graduate students in power systems; it will also appeal to EV manufacturers, regulators, EV market professionals, energy providers and traders, mobility providers, EV charging station companies, and policy makers.
Table 2.4 Assumed energy savings in various industrial sectors of EU 15 in the Sustainable Scenario by the year 2050 (ISI 1996.) ... Due to data restrictions and
in order to simplify calculations, we merely divide the required heat into two
temperature zones above and ... An analysis of the industrial energy
consumption in Germany shows that practically the whole demand for process
heat in the textile, food ...
Author: The LTI-Research Group
Publisher: Springer Science & Business Media
A sustainable European energy system, mitigating climate change and solving a number of other key environmental problems, will require massive reliance on renewable energy sources combined with a sharp increase in energy productivity. Considering that most of the technologies necessary for such a development are already available, today's most important questions are: How can these technologies be integrated into the European energy system? What are the costs and benefits of such a strategy? What are the major bottlenecks and obstacles to such a development? What measures are necessary to support this development? In the book a "sustainable scenario" and a "fair-market scenario" are developed as a means to demonstrate that concepts for a sustainable future European energy supply are feasible.
Integration and Dissemination of Citizen Reported and Seismically Derived
Earthquake Information via Social Network ... Survey National Earthquake
Information Center, Golden, CO, USA 2 National Renewable Energy Laboratory,
Author: Paul R. Cohen
Publisher: Springer Science & Business Media
This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Data Analysis, IDA 2010, held in Tucson, AZ, USA in May 2010. The 21 revised papers presented together with 2 invited papers were carefully reviewed and selected from more than 40 submissions. All current aspects of intelligent data analysis are addressed, particularly intelligent support for modeling and analyzing complex, dynamical systems. Topics covered are end-to-end software systems; modeling complex systems such as gene regulatory networks, economic systems, ecological systems, resources such as water, and dynamical social systems such as online communities; and robustness, scaling properties and other usability issues.
Apartado 62, 36200 Vigo, Spain ABSTRACT Regression analysis of daily diffuse
and global solar radiation data of a five ... regression analysis; probability
distributions INTRODUCTION basis and daily values were obtained by integration.
Author: A. A. M. Sayigh
Category: Business & Economics
Renewable Energy: Technology and the Environment comprises 106 chapters, with the first focusing on integrated resource planning. The following chapters delve into such topics as electricity from geothermal energy; wave energy prospects and prototypes; renewable energy policies for the nineties and beyond; and renewable energy technologies in developing countries. These topics are followed by discussions on harnessing the tax system to benefit alternative energy; energy-meteorology; development energy and environment; solar energy education; solar hydrogen; sky brightness during twilight; and solar instrumentation used in meteorology. Other chapters cover self-acting system tracking for pyrheliometers; directly coupled turbine-induction generator systems for low-cost micro-hydro power; and the utilization of genetic algorithm for the optimal design of a pneumatic hydro-power device. The remaining chapters present field experiments of a wave power converter with caisson breakwater; technical potentials of renewable energies; and air pollution modification due to energy supply diversification. This book will be of interest to practitioners in the fields of meteorology and environmental studies.
The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data.
Author: Reza Arghandeh
Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. Provides expert analysis of the latest developments by global authorities Contains detailed references for further reading and extended research Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data
Energy utility, intelligent energy technology integration, sustainable development,
detection and analysis of energy patterns ... and climate friendly development
strategy of any energy utility must be adaptive and must rely on the empirical data
Author: R. Neves-Silva
Publisher: IOS Press
The field of intelligent decision technologies is interdisciplinary in nature, bridging computer science with its development of artificial intelligence, information systems with its development of decision support systems, and engineering with its development of systems. This book presents the 45 papers accepted for presentation at the 5th KES International Conference on Intelligent Decision Technologies (KES-IDT 2013), held in Sesimbra, Portugal, in June 2013. The conference consists of keynote talks, oral and poster presentations, invited sessions and workshops on the applications and theory of intelligent decision systems and related areas. The conference provides an opportunity for the presentation and discussion of interesting new research results, promoting knowledge transfer and the generation of new ideas. The book will be of interest to all those whose work involves the development and application of intelligent decision systems.
Final Project Report Gerald L. Gibson, Alternative Energy Systems Consulting,
Inc. 2.10 Task 10 Data Analysis The purpose of this task was to conduct
additional data analysis beyond that which was completed under Task 9. The
Task 9 ...
Author: Gerald L. Gibson
Category: Distributed generation of electric power
with multiple power plants and suppliers ahead of that date , to assume direct
control over the integration of local renewables and ... 3.3.1 Using Data Analytics
to Target The Deployment of Distributed Energy Resources Community Choice ...
Author: Paul Fenn
Category: Distributed generation of electric power
This research addresses the need for integration concepts, holistic monitoring
and analysis methodologies, life-cycle oriented decision ... simulation tools,
Building Information Modelling (BIM) tools, service oriented architectures and data warehouse technologies. ... The developed prototype has been
demonstrated with EOS Sustainable Energy Solutions GmbH which is Hannover,
Germany based R&D ...
Author: Ibrahim Dincer
This multi-disciplinary volume presents information on the state-of-the-art in the sustainable development technologies and tactics. Its unique amalgamation of the latest technical information, research findings and examples of successfully applied new developments in the area of sustainable development will be of keen interest to engineers, students, practitioners, scientists and researchers concerned with sustainability. Problem statements, projections, new concepts, models, experiments, measurements and simulations from not only engineering and science, but disciplines as diverse as ecology, education, economics and information technology are included, in order to create a truly holistic vision of the sustainable development field. The contributions feature coverage of topics including green buildings, exergy analysis, clean carbon technologies, waste management, energy conservation, environmental remediation, energy security and sustainable development policy.
Recommendations Provided the necessary data with sufficient quality , integration cost analysis becomes a relatively ... It is recommended that the
California Energy Commission or CPUC dedicate personnel and resources to
perform the ...
... energy efficiency, enable real-time two-way communication and power flows,
allow the integration of intermittent renewable energy sources, and enable the
secure collection of energy data. To achieve this goal, numerous leading science
Author: Brian C. Black
This book provides a holistic consideration of climate change that goes beyond pure science, fleshing out the discussion by considering cultural, historical, and policy-driven aspects of this important issue. • Contributions from more than 100 experts • Excerpts from reports from international organizations such as the Intergovernmental Panel on Climate Change (IPCC) • Transcripts of speeches from world leaders on the climate change issue • Sidebars on the "climate-history connection" explore the possible links between climate and key events through history, such as the Classical Maya collapse • Essential, annotated primary sources • Quotes from policy makers, scientists, eyewitnesses to climate change, and social and cultural leaders
Release on 2003 | by China Energy Technology Program
1.3 Integration of LCA with other CETP Tasks The results of LCA give an
environmental ranking for single ... The results obtained for the scenario analysis
by calculating the selected burdens with LCA data for the year 2020 only may
differ from ...
Author: China Energy Technology Program
Publisher: Springer Science & Business Media
There is no progress without access to energy and no energy use without supporting technology. Only one sixth of the earth's population has an easy access to sufficient energy. The other five sixth will increase their demand for energy in the future. The global environmental problems we face will increasingly affect our daily life. Adjust and fair price for energy is necessary for comparing the pros and cons of energy technology application. The road to an objective analysis of an energy system is called "Integrated Energy Analysis" and covers a cradle-to-grave system approach. This book contains such an analysis of the electricity energy system in Shandong-Province, one of China's 32 Provinces. It also presents a decision support analysis tool. It should allow decision makers in China to choose the right system of electricity supply with minimum environmental impact and/or minimum "true" cost. The book contains a DVD, which contains a more extensive record of the research results obtained. It also contains all the tools, which have been developed. The methodology presented in this book and DVD is easily applicable to other Provinces in China and also other countries and regions. This research presents a pioneering effort in bringing together the three essential partners for any such research program, Industry, Academia and the Stakeholders, i.e. prospective users of the results. An important aspect of this international program with 75 participants was the leadership provided by a dedicated and professional Program Management Team from Industry. Developing a sustainable energy supply in China is an essential part of a global strategy to promote development while mitigating environmental pollution and the effect of greenhouse gas emissions.
Product design Advanced thermal Reconciled process Process simulation pinch analysis and economic data MCDM ... analysis, molecular design of solvent
replacement and recovery, etc., for mass and energy integration; and many other
Author: Lijun Wang
Publisher: CRC Press
Given the environmental concerns and declining availability of fossil fuels, as well as the growing population worldwide, it is essential to move toward a sustainable bioenergy-based economy. However, it is also imperative to address sustainability in the bioenergy industry in order to avoid depleting necessary biomass resources. Sustainable Bioenergy Production provides comprehensive knowledge and skills for the analysis and design of sustainable biomass production, bioenergy processing, and biorefinery systems for professionals in the bioenergy field. Focusing on topics vital to the sustainability of the bioenergy industry, this book is divided into four sections: Fundamentals of Engineering Analysis and Design of Bioenergy Production Systems, Sustainable Biomass Production and Supply Logistics, Sustainable Bioenergy Processing, and Sustainable Biorefinery Systems. Section I covers the fundamentals of genetic engineering, novel breeding, and cropping technologies applied in the development of energy crops. It discusses modern computational tools used in the design and analysis of bioenergy production systems and the life-cycle assessment for evaluating the environmental sustainability of biomass production and bioenergy processing technologies. Section II focuses on the technical and economic feasibility and environmental sustainability of various biomass feedstocks and emerging technologies to improve feedstock sustainability. Section III addresses the technical and economic feasibility and environmental sustainability of different bioenergy processing technologies and emerging technologies to improve the sustainability of each bioenergy process. Section IV discusses the design and analysis of biorefineries and different biorefinery systems, including lignocellulosic feedstock, whole-crop, and green biorefinery.