A predictive model to forecast customer adoption of rooftop solar

Sultan, Vivian; Alsamani, Bader; Alharbi, Norah; Alsuhaibany, Yazeed; Alzahrani, Mansour

doi:10.1109/iscbi.2016.7743256

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Individuals' race was relevant when studies included more than one ethnicity. The predictor was mostly used for the US [23,55,58,88,104,108,110,[113][114][115][116][117][118] and sparsely for the UK [119], Belgium [111] and Malaysia [60]. Note that the applicability and practicality of the listed social factors (Table 4) fundamentally rests on the specifications of the area under study.…”

Section: Social Predictorsmentioning

confidence: 99%

Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review

Alipour

Salim

Stewart

et al. 2020

Renewable and Sustainable Energy Reviews

147

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Section: Social Predictorsmentioning

confidence: 99%

Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review

Alipour

Salim

Stewart

et al. 2020

Renewable and Sustainable Energy Reviews

147

View full text Add to dashboard Cite

“…1. fixed growth factors for existing solar, storage, and controllable (or uncontrollable) loads; input as a schedule of %/year vs. time 2. pre-identified feasible sites for new capacitor banks, chosen from a list of fixed sizes 3. residential rooftop solar adoption models for existing houses (Zhang et al 2015;Sultan et al 2016), or a simpler one based on total energy use and floor area of the house 4. changing size of an existing substation or service transformer.…”

Section: Operational and Growth Modelsmentioning

confidence: 99%

Transactive Systems Simulation and Valuation Platform Trial Analysis

Widergren

Hammerstrom

Huang

et al. 2017

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Transactive energy systems use principles of value to coordinate responsive supply and demand in energy systems. Work continues within the Transactive Systems Program, which is funded by the U.S. Department of Energy at Pacific Northwest National Laboratory, to understand the value of, understand the theory behind, and simulate the behaviors of transactive energy systems. This report summarizes recent advances made by this program. The main capability advances include a more comprehensive valuation model, including recommended documentation that should make valuation studies of all sorts more transparent, definition of economic metrics with which transactive mechanisms can be evaluated, and multiple improvements to the time-simulation environment that is being used to evaluate transactive scenarios. v Summary Transactive system designs are intended to drive electric system operations toward an optimal balance of supply and demand at all levels of the grid. To accomplish this, they actively seek the engagement of all potentially responsive electrical assets, including customer-owned and third-party assets, through transparent, competitive means. This provides the flexibility required by tomorrow's power grid, whether generation shifts from centralized to more distributed resources or from dispatchable generation plants to intermittent renewables. Operating such a grid, capable of powering our society by providing the reliability and affordable electricity rates it demands, necessitates new operational flexibility from resources on a large scale. In order to do this at reasonable cost, much of this flexibility is expected to be derived from distributed assets such as continually responsive loads, distributed electrical and thermal storage, smart inverters for solar photovoltaic systems, electric vehicles, etc. The U.S. Department of Energy's (DOE's) Transactive Systems Program (TSP) encourages the development of transactive designs that offer systematic, scalable, and equitable approaches for managing energy system operations. Because several designs have already been proposed, some have also been and demonstrated in the field, and more are sure to follow, the program works to inform decision makers on alternative transactive designs and their characteristics. It does this by developing a simulation environment capable of testing a variety of transactive system designs. This includes establishing a set of test scenarios with realistic models and data sets for testing such alternative transactive system designs. In addition, criteria and a disciplined process for evaluation are proposed as part of the TSP's valuation methodology element. The valuation criteria are supplemented with systemic criteria for measuring proper behavior of the transactive system being studied on topics such as scalability, optimality, and convergence. These are derived from TSP elements that contribute to a theoretical framework for transactive systems. This document reports on an early trial of the first year's progress developing an analy...

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Factors for Measuring Photovoltaic Adoption from the Perspective of Operators

et al. 2020

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The diffusion of photovoltaic distributed generation is relevant for addressing the political, economic, and environmental issues in the electricity sector. However, the proliferation of distributed generation brings new administrative and operational challenges for the sustainability of electric power utilities. Electricity distributors operate in economies of scale, and the high photovoltaic penetration means that these companies have economic and financial impacts, in addition to influencing the migration of other consumers. Thus, this paper aims to systematically identify and evaluate critical factors and indicators that may influence electricity distributors in predicting their consumers' adoption of photovoltaic technology, which were subjected to the analysis of 20 industry experts. Results show that the cost of electricity, generation capacity, and cost of the photovoltaic systems are the most relevant indicators, and it is possible to measure a considerable part of them using the internal data of the electricity distributors. The study contributes to the understanding of the critical factors for the forecast of the adoption of consumers to distributed photovoltaic generation, to assist the distribution network operators in the decision making, and the distribution sustainability. Also, it establishes the theoretical, political, and practical implications for the Brazilian scenario and developing countries.

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A predictive model to forecast customer adoption of rooftop solar

Cited by 3 publications

References 2 publications

Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review

Predictors, taxonomy of predictors, and correlations of predictors with the decision behaviour of residential solar photovoltaics adoption: A review

Transactive Systems Simulation and Valuation Platform Trial Analysis

Factors for Measuring Photovoltaic Adoption from the Perspective of Operators

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