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Jan Priesmann

Institute for Future Energy Consumer Needs and Behavior

H指数:8

被引数:295

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A review of determining reliability standards for electricity supply via value of lost load and cost of new entry in the EU

通过价值损失负载和新进入成本确定欧盟电力供应可靠性标准的研究综述

IF9.2

2025-09-100

OAAI

Estimating short- and long-run price and income elasticities of final energy demand as a function of household income

估算最终能源需求的短期和长期价格和收入弹性作为家庭收入的函数

IF9.2

2025-08-310

OAAI

Uplifting the complexity of analysis for probabilistic security of electricity supply assessments using artificial neural networks

IF9.6

2024-09-010

OAAI

Artificial intelligence and design of experiments for resource adequacy assessment in power systems

电力系统资源充足性评估的人工智能和实验设计

ENERGY STRATEGY REVIEWS

IF9.9

2024-05-011

OAAI

Does renewable electricity hurt the poor? Exploring levy programs to reduce income inequality and energy poverty across German households

ENERGY RESEARCH & SOCIAL SCIENCE

IF7.4

2022-11-0118

PRE

Does renewable electricity supply match with energy demand? - A spatio-temporal analysis for the German case

IF11

2022-02-0115

PRE

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models

IF11

2021-12-0127

OAAI

The potential of deep learning to reduce complexity in energy system modeling

INTERNATIONAL JOURNAL OF ENERGY RESEARCH

IF4.2

2021-11-227

OAAI

A modeler's guide to handle complexity in energy systems optimization

ADVANCES IN APPLIED ENERGY

IF13.8

2021-11-0184

OA

Are complex energy system models more accurate? An intra-model comparison of power system optimization models

复杂能源系统模型是否更准确？电力系统优化模型的模型内比较

IF11

2019-12-0162

PREAI