@unpublished{MosaviTorabiHashemietal.,
  author    = {Mosavi, Amir and Torabi, Mehrnoosh and Hashemi, Sattar and Saybani, Mahmoud Reza and Shamshirband, Shahaboddin},
  title     = {A Hybrid Clustering and Classification Technique for Forecasting Short-Term Energy Consumption},
  doi       = {10.25643/bauhaus-universitaet.3755},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180907-37550},
  abstract  = {Electrical energy distributor companies in Iran have to announce their energy demand at least three 3-day ahead of the market opening. Therefore, an accurate load estimation is highly crucial. This research invoked methodology based on CRISP data mining and used SVM, ANN, and CBA-ANN-SVM (a novel hybrid model of clustering with both widely used ANN and SVM) to predict short-term electrical energy demand of Bandarabbas. In previous studies, researchers introduced few effective parameters with no reasonable error about Bandarabbas power consumption. In this research we tried to recognize all efficient parameters and with the use of CBA-ANN-SVM model, the rate of error has been minimized. After consulting with experts in the field of power consumption and plotting daily power consumption for each week, this research showed that official holidays and weekends have impact on the power consumption. When the weather gets warmer, the consumption of electrical energy increases due to turning on electrical air conditioner. Also, con-sumption patterns in warm and cold months are different. Analyzing power consumption of the same month for different years had shown high similarity in power consumption patterns. Factors with high impact on power consumption were identified and statistical methods were utilized to prove their impacts. Using SVM, ANN and CBA-ANN-SVM, the model was built. Sine the proposed method (CBA-ANN-SVM) has low MAPE 5 1.474 (4 clusters) and MAPE 5 1.297 (3 clusters) in comparison with SVM (MAPE 5 2.015) and ANN (MAPE 5 1.790), this model was selected as the final model. The final model has the benefits from both models and the benefits of clustering. Clustering algorithm with discovering data structure, divides data into several clusters based on similarities and differences between them. Because data inside each cluster are more similar than entire data, modeling in each cluster will present better results. For future research, we suggest using fuzzy methods and genetic algorithm or a hybrid of both to forecast each cluster. It is also possible to use fuzzy methods or genetic algorithms or a hybrid of both without using clustering. It is issued that such models will produce better and more accurate results. This paper presents a hybrid approach to predict the electric energy usage of weather-sensitive loads. The presented methodutilizes the clustering paradigm along with ANN and SVMapproaches for accurate short-term prediction of electric energyusage, using weather data. Since the methodology beinginvoked in this research is based on CRISP data mining, datapreparation has received a gr eat deal of attention in thisresear ch. Once data pre-processing was done, the underlyingpattern of electric energy consumption was extracted by themeans of machine learning methods to precisely forecast short-term energy consumption. The proposed approach (CBA-ANN-SVM) was applied to real load data and resulting higher accu-racy comparing to the existing models. 2018 American Institute of Chemical Engineers Environ Prog, 2018 https://doi.org/10.1002/ep.12934},
  subject      = {Data Mining},
  language  = {en}
}
@article{MosaviNajafiFaizollahzadehArdabilietal.,
  author    = {Mosavi, Amir and Najafi, Bahman and Faizollahzadeh Ardabili, Sina and Shamshirband, Shahaboddin and Rabczuk, Timon},
  title     = {An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and Energy Analysis},
  series = {Energies},
  volume    = {2018},
  journal   = {Energies},
  number    = {11, 4},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/en11040860},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180507-37467},
  pages     = {18},
  abstract  = {Biodiesel, as the main alternative fuel to diesel fuel which is produced from renewable and available resources, improves the engine emissions during combustion in diesel engines. In this study, the biodiesel is produced initially from waste cooking oil (WCO). The fuel samples are applied in a diesel engine and the engine performance has been considered from the viewpoint of exergy and energy approaches. Engine tests are performed at a constant 1500 rpm speed with various loads and fuel samples. The obtained experimental data are also applied to develop an artificial neural network (ANN) model. Response surface methodology (RSM) is employed to optimize the exergy and energy efficiencies. Based on the results of the energy analysis, optimal engine performance is obtained at 80\% of full load in presence of B10 and B20 fuels. However, based on the exergy analysis results, optimal engine performance is obtained at 80\% of full load in presence of B90 and B100 fuels. The optimum values of exergy and energy efficiencies are in the range of 25-30\% of full load, which is the same as the calculated range obtained from mathematical modeling.},
  subject      = {Biodiesel},
  language  = {en}
}
@unpublished{MosaviMoeiniAhmadpouretal.,
  author    = {Mosavi, Amir and Moeini, Iman and Ahmadpour, Mohammad and Alharbi, Naif and E. Gorji, Nima},
  title     = {Modeling the time-dependent characteristics of perovskite solar cells},
  doi       = {10.25643/bauhaus-universitaet.3757},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180907-37573},
  abstract  = {We proposed two different time-dependent modeling approaches for variation of device characteristics of perovskite solar cells under stress conditions. The first approach follows Sah-Noyce-Shockley (SNS) model based on Shockley-Read-Hall recombination/generation across the depletion width of pn junction and the second approach is based on thermionic emission model for Schottky diodes. The connecting point of these approaches to time variation is the time-dependent defect generation in depletion width (W) of the junction. We have fitted the two models with experimental data reported in the literature to perovskite solar cell and found out that each model has a superior explanation for degradation of device metrics e.g. current density and efficiency by time under stress conditions. Nevertheless, the Sah-Noyce-Shockley model is more reliable than thermionic emission at least for solar cells.},
  subject      = {Solarzelle},
  language  = {en}
}
@article{MosaviHosseiniImaniZalzaretal.,
  author    = {Mosavi, Amir and Hosseini Imani, Mahmood and Zalzar, Shaghayegh and Shamshirband, Shahaboddin},
  title     = {Strategic Behavior of Retailers for Risk Reduction and Profit Increment via Distributed Generators and Demand Response Programs},
  series = {Energies},
  volume    = {2018},
  journal   = {Energies},
  number    = {11, 6},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/en11061602},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180628-37546},
  pages     = {24},
  abstract  = {Following restructuring of power industry, electricity supply to end-use customers has undergone fundamental changes. In the restructured power system, some of the responsibilities of the vertically integrated distribution companies have been assigned to network managers and retailers. Under the new situation, retailers are in charge of providing electrical energy to electricity consumers who have already signed contract with them. Retailers usually provide the required energy at a variable price, from wholesale electricity markets, forward contracts with energy producers, or distributed energy generators, and sell it at a fixed retail price to its clients. Different strategies are implemented by retailers to reduce the potential financial losses and risks associated with the uncertain nature of wholesale spot electricity market prices and electrical load of the consumers. In this paper, the strategic behavior of retailers in implementing forward contracts, distributed energy sources, and demand-response programs with the aim of increasing their profit and reducing their risk, while keeping their retail prices as low as possible, is investigated. For this purpose, risk management problem of the retailer companies collaborating with wholesale electricity markets, is modeled through bi-level programming approach and a comprehensive framework for retail electricity pricing, considering customers' constraints, is provided in this paper. In the first level of the proposed bi-level optimization problem, the retailer maximizes its expected profit for a given risk level of profit variability, while in the second level, the customers minimize their consumption costs. The proposed programming problem is modeled as Mixed Integer programming (MIP) problem and can be efficiently solved using available commercial solvers. The simulation results on a test case approve the effectiveness of the proposed demand-response program based on dynamic pricing approach on reducing the retailer's risk and increasing its profit. In this paper, the decision-making problem of the retailers under dynamic pricing approach for demand response integration have been investigated. The retailer was supposed to rely on forward contracts, DGs, and spot electricity market to supply the required active and reactive power of its customers. To verify the effectiveness of the proposed model, four schemes for retailer's scheduling problem are considered and the resulted profit under each scheme are analyzed and compared. The simulation results on a test case indicate that providing more options for the retailer to buy the required power of its customers and increase its flexibility in buying energy from spot electricity market reduces the retailers' risk and increases its profit. From the customers' perspective also the retailers'accesstodifferentpowersupplysourcesmayleadtoareductionintheretailelectricityprices. Since the retailer would be able to decrease its electricity selling price to the customers without losing its profitability, with the aim of attracting more customers. Inthiswork,theconditionalvalueatrisk(CVaR)measureisusedforconsideringandquantifying riskinthedecision-makingproblems. Amongallthepossibleoptioninfrontoftheretailertooptimize its profit and risk, demand response programs are the most beneficial option for both retailer and its customers. The simulation results on the case study prove that implementing dynamic pricing approach on retail electricity prices to integrate demand response programs can successfully provoke customers to shift their flexible demand from peak-load hours to mid-load and low-load hours. Comparing the simulation results of the third and fourth schemes evidences the impact of DRPs and customers' load shifting on the reduction of retailer's risk, as well as the reduction of retailer's payment to contract holders, DG owners, and spot electricity market. Furthermore, the numerical results imply on the potential of reducing average retail prices up to 8\%, under demand response activation. Consequently, it provides a win-win solution for both retailer and its customers.},
  subject      = {Risikomanagement},
  language  = {en}
}
@phdthesis{Mischke,
  author    = {Mischke, Marcel},
  title     = {Keine Ahnung? Landschaft!},
  doi       = {10.25643/bauhaus-universitaet.3824},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20181122-38242},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {182},
  abstract  = {... soll auf den folgenden Seiten eine dritte Richtung angedeutet und vorgezeichnet werden, die ebenso Interesse am Erkenntnisgewinn durch das Thema Landschaft bekundet, dies hingegen aus der Umkehrung heraus erreichen will. Dreht man den Richtungspfeil, stehen wir ihr, der Landschaft, gegen{\"u}ber. Vom Modus des Aktiven geraten wir in die Passivit{\"a}t. Damit wird eine Korrektur der Fragestellung m{\"o}glich. Es entsteht eine Perspektive, die die {\"U}berlegungen zul{\"a}sst: Was die Landschaft eigentlich mit uns macht?, welchen Horizont sie uns er{\"o}ffnet und entstehen l{\"a}sst, welche Bedeutung und welche Qualit{\"a}t wir dem ›Landschaftlichen‹ zuschreiben k{\"o}nnen, worin die Notwendigkeit ihres Erhalts und der Nutzen f{\"u}r die gegenw{\"a}rtige Gesellschaft bestehen kann.},
  subject      = {Landschaft},
  language  = {de}
}
@phdthesis{Michel,
  author    = {Michel, Ralf},
  title     = {Licht - Farbe - Licht : Zur Integration von Design und Technik in der Designforschung mit Licht und Farbe},
  doi       = {10.25643/bauhaus-universitaet.3794},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180921-37941},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {224},
  abstract  = {Die Thesis untersucht am Beispiel von Farb-Licht Forschungen (Interaktion dynamischen Lichts mit farbigen Oberfl{\"a}chen) und der Designforschungen am Potenzial der organisch Licht emittierenden Dioden (OLED) integrierende Aspekte des Designs im Kontext dieser Technologien. Des weiteren reflektiert die Thesis am Beispiel dieser Designforschungen das Verh{\"a}ltnis von Designforschung und Innovation f{\"u}r die gestalterischen Disziplinen.},
  subject      = {Design},
  language  = {de}
}
@phdthesis{Link,
  author    = {Link, Tim},
  title     = {Entwicklung und Untersuchung von alternativen Dicalciumsilicat-Bindern auf der Basis von alpha-C2SH},
  doi       = {10.25643/bauhaus-universitaet.3722},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180205-37228},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {292},
  abstract  = {Um den Klimawandel zu begrenzen, m{\"u}ssen die CO2-Emissionen drastisch gesenkt werden [100]. Bis 2050 soll bei der Herstellung von Zement eine Einsparung um 51-60 \% auf 0,425-0,350 tCO2/tZement erfolgen [7]. Um dieses Ziel zu erreichen, sind alternative Bindemittelkonzepte notwendig [70]. Diese Arbeit widmet sich alternativen, hochreaktiven Dicalciumsilicat-Bindemitteln, die durch die thermische Aktivierung von α-Dicalcium-Silicat-Hydrat (α-C2SH) erzeugt werden. Das α-C2SH ist eine kristalline C S H-Phase, die im hydrothermalen Prozess, beispielsweise aus Branntkalk und Quarz, herstellbar ist. Die thermische Aktivierung kann bei sehr niedrigen Temperaturen erfolgen (>420 °C) und f{\"u}hrt zu einem Multiphasen-C2S-Binder. Als besonders reaktive Bestandteile k{\"o}nnen x-C2S und r{\"o}ntgenamorphe Anteile enthalten sein. Weiterhin k{\"o}nnen β C2S, γ C2S und Dellait (Ca6(SiO4)(Si2O7)(OH)2) entstehen. Im Rahmen der Arbeit wird zun{\"a}chst der Stand des Wissens zur Polymorphie und Hydratation von C2S zusammengefasst. Es werden bekannte C2S-basierte Bindemittelkonzepte vorgestellt und bewertet. Die Herstellung von C2S-Bindern wird experimentell im Labormaßstab untersucht. Dabei kommen unterschiedliche Autoklaven und ein Muffelofen zum Einsatz. Die Herstellungsparameter werden hinsichtlich Phasenbestand und Reaktivit{\"a}t optimiert. Die Bindemittel werden durch quantitative R{\"o}ntgen-Phasenanalyse (QXRD), Rasterelektronenmikroskopie (REM), N2-Adsorption (BET-Methode), Heliumpycnometer, Thermoanalyse (TGA/DSC) und 29Si-MAS- sowie 29Si-1H-CP/MAS-NMR-Spektroskopie charakterisiert. Das Hydratationsverhalten der Bindemittel wird vorrangig mithilfe von W{\"a}rmeflusskalorimetrie untersucht. Weiterhin werden in situ und ex situ XRD-, TGA/DSC- und REM-Untersuchungen durchgef{\"u}hrt. Anhand von zwei Bindemitteln wird die F{\"a}higkeit zur Erzielung hoher Festigkeiten demonstriert. Abschließend erfolgt eine Absch{\"a}tzung zu Energiebedarf und CO2-Emissionen f{\"u}r die Herstellung der untersuchten C2S-Binder. Die Ergebnisse zeigen, dass f{\"u}r eine hohe Reaktivit{\"a}t der Binder eine niedrige Brenntemperatur und ein geringer Wasserdampfpartialdruck w{\"a}hrend der thermischen Aktivierung entscheidend sind. Weiterhin muss das hydrothermal hergestellte α-C2SH eine m{\"o}glichst hohe spezifische Oberfl{\"a}che aufweisen. Diese Parameter beeinflussen den Phasenbestand und die phasenspezifische Reaktivit{\"a}t. Brenntemperaturen von ca. 420-500 °C f{\"u}hren zu hochreaktiven Bindern, die im Rahmen dieser Arbeit als Niedertemperatur-C2S-Binder bezeichnet werden. Temperaturen von ca. 600-800 °C f{\"u}hren zu Bindern mit geringerer Reaktivit{\"a}t, die im Rahmen dieser Arbeit als Hochtemperatur-C2S bezeichnet werden. H{\"o}here Brenntemperaturen (1000 °C) f{\"u}hren zu Bindemitteln, die innerhalb der ersten drei Tage keine hydraulische Aktivit{\"a}t zeigen. Die untersuchten Bindemittel k{\"o}nnen sehr hohe Reaktionsgeschwindigkeiten erreichen. Die W{\"a}rmeflusskalorimetrie deutet bei einigen Bindemitteln einen nahezu vollst{\"a}ndigen Umsatz innerhalb von drei Tagen an. Durch XRD wurde f{\"u}r einen Binder der vollst{\"a}ndige Verbrauch von x-C2S innerhalb von drei Tagen nachgewiesen. F{\"u}r einen mittels in-situ-XRD und W{\"a}rmeflusskalorimetrie untersuchten Binder wurde gezeigt, dass die Phasen vorrangig in der Reihenfolge r{\"o}ntgenamorph > x-C2S > β-C2S > γ-C2S hydratisieren. Hydratationsprodukte sind nadelige C S H-Phasen und Portlandit. Die Herstellung durch thermische Aktivierung von α-C2SH f{\"u}hrt zu tafeligen Bindemittelpartikeln, die teilweise Zwickelr{\"a}ume und Poren zwischen den einzelnen Partikeln einschließen. Um eine verarbeitbare Bindemittelpaste zu erzeugen, sind daher sehr hohe Wasser/Bindemittel-Werte (z. B. 1,4) erforderlich. Der Wasseranspruch kann durch Mahlung etwa auf das Niveau von Zement gesenkt werden. Die Druckfestigkeitsentwicklung wurde an zwei Niedertemperatur-C2S-Kompositbindern mit 40 \% Kalksteinmehl bzw. 40 \% H{\"u}ttensand untersucht. Aufgrund von theoretischen Betrachtungen zur Porosit{\"a}t in Abh{\"a}ngigkeit des w/b-Wertes wurde dieser auf 0,3 festgelegt. Durch Zugabe von PCE-Fließmittel wurde ein verarbeitbarer M{\"o}rtel erhalten. Die Festigkeitsentwicklung ist sehr schnell. Der Kalksteinmehl-Binder erreichte nach zwei Tagen 46 N/mm². Bis Tag 28 trat keine weitere Festigkeitssteigerung ein. Der H{\"u}ttensand-Binder erreichte nach zwei Tagen 62 N/mm². Durch die H{\"u}ttensandreaktion stieg die Festigkeit bis auf 85 N/mm² nach 28 Tagen an. F{\"u}r den Herstellungsprozess von Niedertemperatur-C2S-Binder wurden Energieverbr{\"a}uche und CO2-Emissionen abgesch{\"a}tzt. Es deutet sich an, dass, bezogen auf die Bindemittelmenge, keine wesentlichen Einsparungen im Vergleich zur Portlandzementherstellung m{\"o}glich sind. F{\"u}r die tats{\"a}chlichen Emissionen muss jedoch zus{\"a}tzlich die Leistungsf{\"a}higkeit der Bindemittel ber{\"u}cksichtigt werden. Die Leistungsf{\"a}higkeit kann als erforderliche Bindemittelmenge betrachtet werden, die je m³ Beton eingesetzt werden muss, um bestimmte Festigkeits-, Dauerhaftigkeits- und Verarbeitungseigenschaften zu erreichen. Aus verschiedenen Ver{\"o}ffentlichungen [94, 201, 206] wurde die These abgeleitet, dass die Leistungsf{\"a}higkeit eines Bindemittels maßgeblich von der C-S-H-Menge bestimmt wird, die w{\"a}hrend der Hydratation gebildet wird. Daher wird f{\"u}r NT-C2S-Binder eine außergew{\"o}hnlich hohe Leistungsf{\"a}higkeit erwartet. Auf Basis der Leistungsf{\"a}higkeitsthese verringern sich die abgesch{\"a}tzten CO2-Emissionen von NT-C2S-Bindern, sodass gegen{\"u}ber Portlandzement ein m{\"o}gliches Einsparpotenzial von 42 \% ermittelt wurde.},
  subject      = {Belit},
  language  = {de}
}
@misc{Lang,
  type      = {Master Thesis},
  author    = {Lang, Kevin},
  title     = {Argument Search with Voice Assistants},
  doi       = {10.25643/bauhaus-universitaet.3935},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20190617-39353},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  pages     = {100},
  abstract  = {The need for finding persuasive arguments can arise in a variety of domains such as politics, finance, marketing or personal entertainment. In these domains, there is a demand to make decisions by oneself or to convince somebody about a specific topic. To obtain a conclusion, one has to search thoroughly different sources in literature and on the web to compare various arguments. Voice interfaces, in form of smartphone applications or smart speakers, present the user with natural conversations in a comfortable way to make search requests in contrast to a traditional search interface with keyboard and display. Benefits and obstacles of such a new interface are analyzed by conducting two studies. The first one consists of a survey for analyzing the target group with questions about situations, motivations, and possible demanding features. The latter one is a wizard-of-oz experiment to investigate possible queries on how a user formulates requests to such a novel system. The results indicate that a search interface with conversational abilities can build a helpful assistant, but to satisfy the demands of a broader audience some additional information retrieval and visualization features need to be implemented.},
  subject      = {Amazon Alexa},
  language  = {en}
}
@article{Laak,
  author    = {Laak, Dirk van},
  title     = {Freir{\"a}ume. Historische Hinweise zur F{\"u}llung einer Leerstelle},
  doi       = {10.25643/bauhaus-universitaet.3771},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20180724-37716},
  abstract  = {Vortrag, gehalten am 22.11.2017 anl{\"a}sslich des Wissenschaftstages an der Bauhaus-Universit{\"a}t Weimar},
  subject      = {Freiraum},
  language  = {de}
}
@unpublished{KavrakovMorgenthal,
  author    = {Kavrakov, Igor and Morgenthal, Guido},
  title     = {A synergistic study of a CFD and semi-analytical models for aeroelastic analysis of bridges in turbulent wind conditions},
  doi       = {10.25643/bauhaus-universitaet.4087},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20200206-40873},
  abstract  = {Long-span bridges are prone to wind-induced vibrations. Therefore, a reliable representation of the aerodynamic forces acting on a bridge deck is of a major significance for the design of such structures. This paper presents a systematic study of the two-dimensional (2D) fluid-structure interaction of a bridge deck under smooth and turbulent wind conditions. Aerodynamic forces are modeled by two approaches: a computational fluid dynamics (CFD) model and six semi-analytical models. The vortex particle method is utilized for the CFD model and the free-stream turbulence is introduced by seeding vortex particles upstream of the deck with prescribed spectral characteristics. The employed semi-analytical models are based on the quasi-steady and linear unsteady assumptions and aerodynamic coefficients obtained from CFD analyses. The underlying assumptions of the semi-analytical aerodynamic models are used to interpret the results of buffeting forces and aeroelastic response due to a free-stream turbulence in comparison with the CFD model. Extensive discussions are provided to analyze the effect of linear fluid memory and quasi-steady nonlinearity from a CFD perspective. The outcome of the analyses indicates that the fluid memory is a governing effect in the buffeting forces and aeroelastic response, while the effect of the nonlinearity is overestimated by the quasi-steady models. Finally, flutter analyses are performed and the obtained critical velocities are further compared with wind tunnel results, followed by a brief examination of the post-flutter behavior. The results of this study provide a deeper understanding of the extent of which the applied models are able to replicate the physical processes for fluid-structure interaction phenomena in bridge aerodynamics and aeroelasticity.},
  subject      = {Ingenieurwissenschaften},
  language  = {en}
}