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energy management of buildings with energy storage and solar photovoltaic:A diversity in experience approach for deep reinforcement learning agents

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energy and AI 2024年第1期15卷 1-14页

作者： Akhtar Hussain Petr Musilek Department of electrical and Computer engineering University of AlbertaEdmontonT6G 2G2ABCanada Department of Applied Cybernetics University of Hradec Králové50003Hradec KrálovéCzech Republic

Deep reinforcement learning(DRL)is a suitable approach to handle uncertainty in managing the energy consumption of buildings with energy storage ***,DRL agents are trained by randomly selecting samples from a data set,which can result in overexposure to some data categories and under/no exposure to other data ***,the trained model may be biased towards some data groups and underperform(provide suboptimal results)for data groups to which it was less *** address this issue,diversity in experience-based DRL agent training framework is proposed in this *** approach ensures the exposure of agents to all types of *** proposed framework is implemented in two *** the first step,raw data are grouped into different clusters using the K-means clustering *** clustered data is then arranged by stacking the data of one cluster on top of *** the second step,a selection algorithm is proposed to select data from each cluster to train the DRL *** frequency of selection from each cluster is in proportion to the number of data points in that cluster and therefore named the proportional selection *** analyze the performance of the proposed approach and compare the results with the conventional random selection method,two indices are proposed in this study:the flatness index and the divergence *** model is trained using different data sets(1-year,3-year,and 5-year)and also with the inclusion of solar *** simulation results confirmed the superior performance of the proposed approach to flatten the building’s load curve by optimally operating the energy storage system.

关键词： Battery energy storage Building demand management Deep reinforcement learning Diversity in experience energy management

Ultrathin Zincophilic Interphase Regulated electric Double Layer enabling Highly Stable Aqueous Zinc‑Ion Batteries

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Nano-Micro Letters 2024年第5期16卷 285-299页

作者： Yimei Chen Zhiping Deng Yongxiang Sun Yue Li Hao Zhang ge Li Hongbo Zeng Xiaolei Wang Department of Chemical and Materials engineering University of Alberta9211‑116 Street NWEdmontonAB T6G 1H9Canada Department of Mechanical engineering University of Alberta9211‑116 Street NWEdmontonAB T6G 1H9Canada

The practical application of aqueous zinc-ion batteries for large-grid scale systems is still hindered by uncontrolled zinc dendrite and side *** the elec-trical double layer via the electrode/electrolyte interface layer is an effective strategy to improve the stability of Zn ***,we report an ultrathin zincophilic ZnS layer as a model *** a given cycling current,the cell with Zn@ZnS electrode displays a lower potential drop over the Helmholtz layer(stern layer)and a suppressed diffuse layer,indicating the regulated charge distribution and decreased electric double layer repulsion *** zinc adsorption sites are also expected as proved by the enhanced electric double-layer ***,the symmetric cell with the ZnS protection layer can stably cycle for around 3,000 h at 1 mA cm^(-2) with a lower overpotential of 25 *** coupled with an I2/AC cathode,the cell demonstrates a high rate performance of 160 mAh g^(-1) at 0.1 A g^(-1) and long cycling stability of over 10,000 cycles at 10 A g^(-1).The Zn||MnO_(2) also sustains both high capacity and long cycling stability of 130 mAh g^(-1) after 1,200 cycles at 0.5 A g^(-1).

关键词： Zinc anode electric double-layer regulation Multifunction SeI layer Inhibited side reactions and dendrite Rapid kinetics

Determining minimum sample size for the conditioned Latin hypercube sampling algorithm

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Pedosphere 2024年第3期34卷 530-539页

作者： Daniel D.SAUReTTe Asim BISWAS Richard J.HeCK Adam W.gILLeSPIe Aaron A.BeRg School of environmental Sciences University of Guelph50 Stone Rd EastGuelph ON N1G 2W1(Canada) Ontario Ministry of Agriculture Food and Rural Affairs1 Stone Rd WestGuelph ON N1G 2Y4(Canada) geography Environment&GeomaticsUniversity of Guelph50 Stone Rd EastGuelph ON N1G 2W1(Canada)

In digital soil mapping(DSM),a fundamental assumption is that the spatial variability of the target variable can be explained by the predictors or environmental *** to adequately sample the predictors have been well documented,with the conditioned Latin hypercube sampling(cLHS)algorithm receiving the most attention in the DSM *** advances in sampling design,a critical gap remains in determining the number of samples required for DSM *** propose a simple workflow and function coded in R language to determine the minimum sample size for the cLHS algorithm based on histograms of the predictor variables using the Freedman-Diaconis rule for determining optimal bin *** preprocessing was included to correct for multimodal and non-normally distributed data,as these can affect sample size determination from the *** on a user-selected quantile range(QR)for the sample plan,the densities of the histogram bins at the upper and lower bounds of the QR were used as a scaling factor to determine minimum sample *** technique was applied to a field-scale set of environmental covariates for a well-sampled agricultural study site near guelph,Ontario,Canada,and tested across a range of *** results showed increasing minimum sample size with an increase in the QR *** sample size increased from 44 to 83 when the QR increased from 50% to 95% and then increased exponentially to 194 for the 99%*** technique provides an estimate of minimum sample size that can be used as an input to the cLHS algorithm.

关键词： bin width digital soil mapping normal distribution quantile range sampling design

Synthetic demand data generation for individual electricity consumers:Inpainting

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energy and AI 2024年第1期15卷 36-43页

作者： Dascha Dobrovolskij Hans-georg Stark Universität Bremen Bibliothekstraβe 528359 BremenGermany Technische Hochschule Aschaffenburg Würzburger Straβe4563743 AschaffenburgGermany

In this contribution we deal with the problem of producing“reasonable”data,when considering recorded energy consumption data,which are at certain sections incomplete and/or *** task is important,when energy providers employ prediction models for expected energy consumption,which are based on past recorded consumption data,which then of course should be reliable and *** a related contribution Yilmaz(2022),gAN-based methods for producing such“artificial data”have been *** this contribution,we describe an alternative and complementary method based on signal inpainting,which has been successfully applied to audio processing Lieb and Stark(2018).After giving a short overview of the theory of proximity-based convex optimization,we describe and adapt an iterative inpainting scheme to our *** usefulness of this approach is demonstrated by analyzing real-world-data provided by a german energy supplier.

关键词： Time series Missing data points Time-frequency analysis Convex optimization Douglas-Rachford-algorithm gabor transform

Ferritin and mortality in hemodialysis patients with COVID-19:A systematic review and meta-analysis

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Asian Pacific Journal of Tropical Medicine 2024年第1期17卷 4-11页

作者： Ni Wayan Anantika Riani I gde Raka Widiana Yenny Kandarini Nephrology Division Department of Internal MedicineUdayana University/Udayana University HospitalBaliIndonesia Nephrology Division Department of Internal MedicineUdayana University/Prof.Dr.I.G.N.G.Ngoerah General HospitalBaliIndonesia

Objective:To investigate the difference in serum ferritin levels between deceased and surviving regular hemodialysis patients with ***:We conducted a systematic search across four databases following the PRISMA statement *** reporting ferritin levels and mortality of regular hemodialysis patients with COVID-19 were *** the random-effects model,we performed a meta-analysis to determine the mean difference in serum ferritin levels between the studied groups,along with their corresponding 95%confidence *** meta-analysis was carried out using Review Manager 5.4 and Stata ***:A total of 1013 patients from seven studies were included in this *** meta-analysis showed higher mean serum ferritin in the deceased compared to surviving regular hemodialysis patients with COVID-19,with a mean difference of 449.43 ng/mL[95%CI(244.07,654.80),Pgher mean of serum ferritin levels in the deceased compared to surviving regular hemodialysis patients with COVID-19.

关键词： Ferritin Mortality Hemodialysis COVID-19 Inflammation

explainability and Interpretability in electric Load Forecasting Using Machine Learning Techniques–A Review

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energy and AI 2024年第2期16卷 483-496页

作者： Lukas Baur Konstantin Ditschuneit Maximilian Schambach Can Kaymakci Thomas Wollmann Alexander Sauer Fraunhofer Institute for Manufacturing engineering and Automation IPA Nobelstraße 12Stuttgart70569Germany Institute for energy efficiency in Production(eeP) University of StuttgartNobelstraße 12Stuttgart70569Germany Merantix Momentum gmbH Max-Urich-Straße 3Berlin13355Germany

electric Load Forecasting(eLF)is the central instrument for planning and controlling demand response programs,electricity trading,and consumption *** to the increasing automation of these processes,meaningful and transparent forecasts become more and more ***,at the same time,the complexity of the used machine learning models and architectures *** there is an increasing interest in interpretable and explainable load forecasting methods,this work conducts a literature review to present already applied approaches regarding explainability and interpretability for load forecasts using Machine *** on extensive literature research covering eight publication portals,recurring modeling approaches,trends,and modeling techniques are identified and clustered by properties to achieve more interpretable and explainable load *** results on interpretability show an increase in the use of probabilistic models,methods for time series decomposition and the use of fuzzy logic in addition to classically interpretable *** explainable approaches are Feature Importance and Attention *** discussion shows that a lot of knowledge from the related field of time series forecasting still needs to be adapted to the problems in *** to other applications of explainable and interpretable methods such as clustering,there are currently relatively few research results,but with an increasing trend.

关键词： electric load forecasting explainability InterpretabilityStructured review

evaluation of Industrial IoT Service Providers with TOPSIS Based on Circular Intuitionistic Fuzzy Sets

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Computers, Materials & Continua 2024年第7期80卷 715-746页

作者： elif Çalo˘glu Büyükselçuk Industrial engineering Department Fenerbahçe University˙Istanbul34758Turkey

Industrial Internet of Things(IIoT)service providers have become increasingly important in the manufacturing industry due to their ability to gather and process vast amounts of data from connected devices,enabling manufacturers to improve operational efficiency,reduce costs,and enhance product *** platforms provide manufacturers with real-time visibility into their production processes and supply chains,allowing them to optimize operations and make informed *** addition,IIoT service providers can help manufacturers create new revenue streams through the development of innovative products and services and enable them to leverage the benefits of emerging technologies such as Artificial Intelligence(AI)and machine ***,the implementation of IIoT platforms in the manufacturing industry is crucial for companies seeking to remain competitive and meet the ever-increasing demands of customers in the digital *** this study,the evaluation criteria to be considered in the selection of IIoT service provider in small andmedium-sized(SMe)manufacturing enterprises will be determined and IIoT service providers alternatives will be evaluated using the technique for order preference by similarity to an ideal solution(TOPSIS)method based on circular intuitionistic fuzzy *** on the assessments conducted in accordance with the literature review and expert consultations,a set of 8 selection criteria has been *** criteria encompass industry expertise,customer support,flexibility and scalability,security,cost-effectiveness,reliability,data analytics,as well as compatibility and *** evaluating these criteria,it was observed that the security criterion holds the highest significance,succeeded by cost-effectiveness,data analytics,flexibility and scalability,reliability,and customer support criteria,in descending order of *** the evaluation of seven distinct alternatives against these criteria,it was deduced tha

关键词： IIoT manufacturing TOPSIS circular intuitionistic fuzzy sets

Neuroendocrine facets of behavior and toxicology

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Aquaculture and Fisheries 2024年第3期9卷 337-338页

作者： Keith B.Tierney Balasubramanian Senthilkumaran Department of Biological Sciences and the School of Public HealthUniversity of AlbertaEdmontonABT6G 2E9Canada Department of Animal Biology School of Life SciencesUniversity of HyderabadP O Central UniversityGachibowliHyderabad500046TelanganaIndia

Professor ***,who I came to know as Senthil,came over to visit the University of Alberta in the summer of 2022 in connection with his global Ambassador Fellowship program at University of Saskatechewan,***,there was that reason to visit,but there was another one as well,one that tied us *** years before Senthil had been considered for a postdoctoral fellowship with the legend that was Dick ***,it didn’t materialize and then he moved to Japan to do his Post Doc Under *** *** had been Dean and a preeminent endocrinologist at the U of A.I came to know Dick near the end of my PhD;he had brought me out to Bamfield Marine Sciences Centre to carryout research using their then-new,and very expensive,simulated *** left an incredible mark on all of us that knew him;he represented all that was wonderful and achievable in *** spent time with him was akin to shaking Sinatra’s hand,at least in the world of biology in that *** this common history,Senthil and I were fast friends.

关键词： Canada shaking carry

Climate refugia along Lake Superior’s shores:disjunct arctic-alpine plants rely on cool shoreline temperatures but are restricted to highly exposed habitat under climate warming

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Journal of Plant ecology 2024年第4期17卷 23-41页

作者： Ashley Hillman Scott e.Nielsen Department of Renewable Resources University of AlbertaEdmontonAB T6G 2R3Canada

Climate refugia can serve as a remnant habitat or stepping stones for species dispersal under climate *** largest freshwater lake by surface area,Lake Superior,USA and Canada,serves as a model system for understanding cooling-mediated local refugia,as its cool water temperatures and wave action have maintained shoreline habitats suitable for southern disjunct populations of arctic-alpine plants since ***,we seek to explain spatial patterns and environmental drivers of arctic-alpine plant refugia along Lake Superior’s shores,and assess future risk to refugia under moderate(+3.5℃)and warmest(+5.7℃)climate warming ***,we examined how the interactive effects of summer surface water temperatures and wind affected onshore temperatures,resulting in areas of cooler ***,we developed an ecological niche model for the presence of disjunct arctic-alpine refugia(pooling 1253 occurrences from 58 species)along the lake’s ***,we fit species distribution models for 20 of the most common arctic-alpine disjunct species and predicted presence to identify refugia ***,we used the two climate warming scenarios to predict changes in the presence of refugia and disjunct *** type,elevation above water,inland distance,July land surface temperature from MODIS/Terra satellite and near-shore depth of water were the best predictors of disjunct ***,we predicted 2236 km of the shoreline(51%)as disjunct refugia habitat for at least one species under current conditions,but this was reduced to 20% and 7% with moderate(894 km)and warmest(313 km)climate change projections.

关键词： climate refugia disjunct populations lake effect Lake Superior species distribution models