4.7 Article

Temporal aggregation of time series to identify typical hourly electricity system states: A systematic assessment of relevant cluster algorithms

Related references

Note: Only part of the references are listed.
Article Thermodynamics

A partition optimization design method for a regional integrated energy system based on a clustering algorithm

Yiming Li et al.

Summary: This study proposes a partition optimization design method that combines K-means and genetic algorithm, which establishes partitions for different buildings' loads using a multi-energy unified clustering, selects suitable energy supply equipment to form alternative structure sets, optimizes the configuration using GA, and obtains an optimal system configuration suitable for each building partition by sorting system evaluation indicators.

ENERGY (2021)

Review Energy & Fuels

A Review on Time Series Aggregation Methods for Energy System Models

Maximilian Hoffmann et al.

ENERGIES (2020)

Article Statistics & Probability

Band Depth Clustering for Nonstationary Time Series and Wind Speed Behavior

Laura L. Tupper et al.

TECHNOMETRICS (2018)

Article Energy & Fuels

Time series aggregation for energy system design: Modeling seasonal storage

Leander Kotzur et al.

APPLIED ENERGY (2018)

Article Engineering, Electrical & Electronic

Chronological Time-Period Clustering for Optimal Capacity Expansion Planning With Storage

Salvador Pineda et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2018)

Article Green & Sustainable Science & Technology

Comparison of clustering algorithms for the selection of typical demand days for energy system synthesis

Thomas Schuetz et al.

RENEWABLE ENERGY (2018)

Article Green & Sustainable Science & Technology

Impact of different time series aggregation methods on optimal energy system design

Leander Kotzur et al.

RENEWABLE ENERGY (2018)

Article Engineering, Electrical & Electronic

Selecting Representative Days for Capturing the Implications of Integrating Intermittent Renewables in Generation Expansion Planning Problems

Kris Poncelet et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2017)

Proceedings Paper Energy & Fuels

Assessing the impact of sampling and clustering techniques on offshore grid expansion planning

Philipp Haertel et al.

14TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, EERA DEEPWIND'2017 (2017)

Article Engineering, Electrical & Electronic

The Impact of Bidding Rules on Electricity Markets With Intermittent Renewables

Fernando J. de Sisternes et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2015)

Article Biology

Assessing the Performance of Model-Based Clustering Methods in Multivariate Time Series with Application to Identifying Regional Wind Regimes

Karen Kazor et al.

JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS (2015)

Article Green & Sustainable Science & Technology

Endogenous Assessment of the Capacity Value of Solar PV in Generation Investment Planning Studies

Francisco D. Munoz et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2015)

Article Computer Science, Interdisciplinary Applications

Multi-objectives, multi-period optimization of district energy systems: I. Selection of typical operating periods

Samira Fazlollahi et al.

COMPUTERS & CHEMICAL ENGINEERING (2014)

Article Economics

A Clean Energy Standard Analysis with the US-REGEN Model

Geoffrey J. Blanford et al.

ENERGY JOURNAL (2014)

Article Engineering, Electrical & Electronic

An Engineering-Economic Approach to Transmission Planning Under Market and Regulatory Uncertainties: WECC Case Study

Francisco D. Munoz et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2014)

Article Environmental Sciences

A Long-Term Electricity Dispatch Model with the TIMES Framework

Ramachandran Kannan et al.

ENVIRONMENTAL MODELING & ASSESSMENT (2013)

Article Green & Sustainable Science & Technology

The relevance of the energy resource dynamics in the mid/long-term energy planning models

Gustavo Haydt et al.

RENEWABLE ENERGY (2011)