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Amber Mahone

Publications -  6
Citations -  828

Amber Mahone is an academic researcher. The author has contributed to research in topics: Greenhouse gas & Efficient energy use. The author has an hindex of 5, co-authored 6 publications receiving 697 citations.

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The Technology Path to Deep Greenhouse Gas Emissions Cuts by 2050: The Pivotal Role of Electricity

TL;DR: It is found that technically feasible levels of energy efficiency and decarbonized energy supply alone are not sufficient; widespread electrification of transportation and other sectors is required.
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Renewable portfolio standards and cost-effective energy-efficiency investment

TL;DR: In this article, the authors demonstrate that if renewable energy is relatively expensive when compared to conventional energy, increasing the RPS target raises the cost-effective level of EE investment, and that states could improve resource allocation if these two policies were coordinated by incorporating renewable-energy procurement cost into the costeffectiveness determination for EE investment.
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Halfway There: Can California Achieve a 50% Renewable Grid?

TL;DR: In the inaugural address for his record fourth term in offi ce, California Governor Jerry Brown set a goal of deriving 50% of electricity from renewable resources by 2030, as part of a continuation of California's efforts to reduce greenhouse gas emissions as mentioned in this paper.
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On the Path to Decarbonization: Electrification and Renewables in California and the Northeast United States

TL;DR: A number of states and regions in the United States have committed to reducing long-term GHG emissions by this level, including California, New York, and New England as discussed by the authors.
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A modeling comparison of deep greenhouse gas emissions reduction scenarios by 2030 in California

TL;DR: In this paper, the authors compare six energy models that have played various roles in informing the state policymakers in setting climate policy goals and targets, including stock-turnover back-casting models, a least-cost optimization model, macroeconomic/macro-econometric models, and an electricity dispatch model.