Development and Analysis of Dynamic Time Based Pricing Scheme, RTFPP for Residential Demand Response Program

Paper proposes fair and dynamic pricing strategy, Real Time Fair Peak Pricing (RTFPP), for residential demand response program which takes into account the intensity of increased load above baseline (must run load) of each user and charge accordingly. Proposed methodology has the potential to increase user confidence, by the induction of fairness and baseline flexibility, hence increasing participation in residential demand response programs for economic operation of system. An algorithm is developed to impose RTFPP scheme on given user, in peak periods, for billing. To show the benefits, diverse realistic user load profiles are imposed with developed algorithm in MATLAB and results are evaluated and analysed.Keywords: Load Management, Residential demand response Dynamic time based pricing Demand side managemen

On demand: can demand response live up to expectations in managing electricity systems?

Residential demand response (meaning changes to electricity use at specific times) has been proposed as an important part of the low carbon energy system transition. Modelling studies suggest benefits may include deferral of distribution network reinforcement, reduced curtailment of wind generation, and avoided investment in reserve generation. To accurately assess the contribution of demand response such studies must be supported by realistic assumptions on consumer participation. A systematic review of international evidence on trials, surveys and programmes of residential demand response suggests that it is important that these assumptions about demand response are not overly optimistic. Customer participation in trials and existing programmes is often 10% or less of the target population, while responses of consumers in existing schemes have varied considerably for a complex set of reasons. Relatively little evidence was identified for engagement with more dynamic forms of demand response, making its wider applicability uncertain. The evidence suggests that the high levels of demand response modelled in some future energy system scenarios may be more than a little optimistic. There is good evidence on the potential of some of the least ‘smart’ options, such as static peak pricing and load control, which are well established and proven. More research and greater empirical evidence is needed to establish the potential role of more innovative and dynami

Drawing Normal Curves: A Visual Analysis of Feedback in Writing-To-Learn Assignments in an Introductory Statistics Course for Community College Students

Writing-to-learn benefits students in polishing their communication skills and understanding of statistical concepts cultivating a deeper understanding of statistics. A series of writing-to-learn activities were given to introductory statistics students at a community college in the Rocky Mountain region of the United States. Historically, research on the teaching and learning of statistics has been performed on undergraduates while overlooking the experiences of community college students in learning statistics. A total of 79 students completed the feedback instrument over the course of three semesters (Summer 2017, Fall 2017, and Spring 2018). The feedback instrument included three Likert scale questions, two open-ended questions and a prompt to draw their feelings about the writing assignments and statistics course. Research suggests that drawings are a creative and novel form of collecting student feedback. Data were analyzed using descriptive statistics where appropriate, thematic analysis was used to evaluate written responses, and visual thematic analysis was performed on the drawings. Findings are useful to introductory statistics instructors and statistics education researchers in understanding the students’ experience with writing-to-learn assignments as the responses provide insight, feedback, and drawbacks on the assignment

Load curve data cleansing and imputation via sparsity and low rank

The smart grid vision is to build an intelligent power network with an unprecedented level of situational awareness and controllability over its services and infrastructure. This paper advocates statistical inference methods to robustify power monitoring tasks against the outlier effects owing to faulty readings and malicious attacks, as well as against missing data due to privacy concerns and communication errors. In this context, a novel load cleansing and imputation scheme is developed leveraging the low intrinsic-dimensionality of spatiotemporal load profiles and the sparse nature of "bad data.'' A robust estimator based on principal components pursuit (PCP) is adopted, which effects a twofold sparsity-promoting regularization through an $\ell_1$-norm of the outliers, and the nuclear norm of the nominal load profiles. Upon recasting the non-separable nuclear norm into a form amenable to decentralized optimization, a distributed (D-) PCP algorithm is developed to carry out the imputation and cleansing tasks using networked devices comprising the so-termed advanced metering infrastructure. If D-PCP converges and a qualification inequality is satisfied, the novel distributed estimator provably attains the performance of its centralized PCP counterpart, which has access to all networkwide data. Computer simulations and tests with real load curve data corroborate the convergence and effectiveness of the novel D-PCP algorithm.Comment: 8 figures, submitted to IEEE Transactions on Smart Grid - Special issue on "Optimization methods and algorithms applied to smart grid

L'évaluation d'opérations locales de maîtrise de l'énergie : un domaine privilégié d'approches pluridisciplinaires

International audienceLa maîtrise de l'énergie s'est imposée comme une priorité dans un contexte de croissance de la demande en services énergétiques, d'épuisement des ressources et de réduction des émissions polluantes. En parallèle, les échelons locaux prennent une importance croissante dans la mise en œuvre des politiques de développement durable. Les agendas 21 se déclinent en local et les Plans Climats en territorial. Les acteurs impliqués dans ces opérations ont des expériences et compétences variées, et recherchent des conseils et expertises complémentaires pour les accompagner dans leurs projets. Cette demande est renforcée par un contexte en pleine évolution : ouverture des marchés de l'énergie à la concurrence, nouveaux instruments d'intervention, nouvelle répartition des rôles entre les acteurs. Elle est aussi suscitée par une volonté de développer des approches territoriales transversales. L'évaluation répond à ces besoins, aussi bien pour rendre compte des résultats atteints, que pour comprendre comment assurer le succès des futures actions ou encore pour former les acteurs à des nouvelles problématiques. Ces objectifs d'évaluation font appel à des ressources dans différents domaines : énergétique, sciences économiques, sociologie, etc. Cet article présente une revue de travaux sur les actions d'efficacité énergétique dans différentes disciplines, pour faire ressortir quels pourraient être les apports d'une approche d'évaluation pluridisciplinaire. Un rapprochement est alors envisagé entre cet aspect pluridisciplinaire de l'évaluation et l'essor des démarches territoriales au niveau local, qui apparaît ainsi comme un lieu privilégié de nouvelles approches expérimentales d'évaluation

Measuring the Long-Term Regional Benefits of Salinity Reduction

Approaches for evaluating salinity management benefits are generalized and extended to incorporate consideration of desalination and long-term changes in salinity concentration and water use patterns. Previous research indicates urban users incur the vast majority of salinity-related damages in affected regions, suggesting municipalities may benefit by considering mitigating actions independent of agriculture. However, previous studies have included no consideration of desalination. Earlier studies have also considered stepped increases in salinity, assuming a single future concentration when estimating the long-term benefits of salinity reduction, an approach inconsistent with the incremental nature of these increases. Long-term changes in water use patterns (urban vs. agricultural), when considered at all, have often been treated in the same stepwise fashion. For this analysis, a suitable region is selected and the benefits of a hypothetical salinity management program are estimated using the approach described. These results are then compared with those obtained through the use of several previous methods. Findings suggest that consideration of desalination and incremental variations in salinity and water use patterns can substantially lower the estimated benefits of regional salinity management programs.benefits, regional water resource modeling, salinity, water quality management, Resource /Energy Economics and Policy,

The Patient‐Centered Medical Home and Patient Experience

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94450/1/hesr1429-sup-0001-Authormatrix.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/94450/2/hesr1429.pd

DRAMA AS A REINFORCEMENT IN YOUNG LEARNERS' ENGLISH VOCABULARY LEARNING

This study seeks to ascertain whether drama has a significant impact on vocabulary instruction for young learners by looking into the teacher’s teaching practice. One English instructor who frequently teaches English through drama was involved in data gathering for this study since the teacher is successful at doing so. Semi-structured interviews are the approach utilized to collect data, and Braun and Clarke's thematic analysis is then used to interpret the data (2012). Three emerging themes from this study's findings indicate the advantages of using drama to teach English: enhancing students' confidence, expanding students' vocabulary, and increasing students' interest in acquiring English language. However, based on the study's findings, the researcher concluded that young learners may benefit from drama-based vocabulary instruction for the following reasons: The use of drama in the classroom fosters intellectual and emotional conditions that promote students' ability to think. It encourages students to take chances and enables them to put their communication talents to use. Dramatic instruction increases language retention over the long run because vocabulary learning requires active participation from the learners