Cited by 514Integrated Energy Systems OptimizationPower Systems and Renewable EnergyElectric Power System Optimization

The DOI matches its Crossref record; 23 of the 24 references it cites were found in a registry or an index.

Integration of Renewable Energy Sources in future power systems: The role of storage

Open access

Weitemeyer, Stefan, Kleinhans, David, Vogt, Thomas, Agert, Carsten·2015·Renewable Energy

DOI 10.1016/j.renene.2014.09.028

Open this paper in CoChat — free account Open PDF

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1016/j.renene.2014.09.028

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials
Jacobson, M. Z., & Delucchi, M. A. (2010) · Energy Policy · doi:10.1016/j.enpol.2010.11.040 · Cited by 1,570
Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050
Lund, H., & Mathiesen, B. V. (2008) · Energy · doi:10.1016/j.energy.2008.04.003 · Cited by 1,127
Cost-minimized combinations of wind power, solar power and electrochemical storage, powering the grid up to 99.9% of the time
Budischak, C., Sewell, D., Thomson, H., Mach, L., Veron, D. E., & Kempton, W. M. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2012.09.054 · Cited by 531
Seasonal optimal mix of wind and solar power in a future, highly renewable Europe
Heide, D., von Bremen, L., Greiner, M., Hoffmann, C., Speckmann, M., & Bofinger, S. (2010) · Renewable Energy · doi:10.1016/j.renene.2010.03.012 · Cited by 518
Technical challenges associated with the integration of wind power into power systems
Georgilakis, P. S. (2006) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2006.10.007 · Cited by 405
Grid vs. storage in a 100% renewable Europe
Steinke, F., Wolfrum, P., & Hoffmann, C. (2012) · Renewable Energy · doi:10.1016/j.renene.2012.07.044 · Cited by 337
Reduced storage and balancing needs in a fully renewable European power system with excess wind and solar power generation
Heide, D., Greiner, M., von Bremen, L., & Hoffmann, C. (2011) · Renewable Energy · doi:10.1016/j.renene.2011.02.009 · Cited by 272
Least cost 100% renewable electricity scenarios in the Australian National Electricity Market
Elliston, B., MacGill, I. F., & Diesendorf, M. O. (2013) · Energy Policy · doi:10.1016/j.enpol.2013.03.038 · Cited by 265
Simulations of scenarios with 100% renewable electricity in the Australian National Electricity Market
Elliston, B., Diesendorf, M. O., & MacGill, I. F. (2012) · Energy Policy · doi:10.1016/j.enpol.2012.03.011 · Cited by 262
Storage and balancing synergies in a fully or highly renewable pan-European power system
Rasmussen, M. G., Andresen, G. B., & Greiner, M. (2012) · Energy Policy · doi:10.1016/j.enpol.2012.09.009 · Cited by 259

Flagged first, then by citations

Show all 24 references

1 of the 24 references couldn’t be matched to a known paper.

Sorted by citations

Items 401–500 of 513

Role of Fe Impurity Reactions in the Electrochemical Properties of MgFeB2O5
Tacconis, C., Dey, S., McLaughlin, C. D., Sougrati, M. T., O’Keefe, C. A., Mikulska, I., Grey, C. P., & Dutton, S. E. (2024) · Chemistry of Materials · doi:10.1021/acs.chemmater.4c02855 · Cited by 2
Can Integrating SoC Management in Economic Dispatch Enhance Real-Time Operation of a Microgrid?
Cagnano, A. (2025) · Energies · doi:10.3390/en18071802 · Cited by 2
The Influence of Variable Operating Conditions and Components on the Performance of Centrifugal Compressors in Natural Gas Storage Reservoirs
Chen, H., Li, G., Wang, S., Wang, N., Zhou, L., Zhou, H., Sun, Y., & Liu, L. (2025) · Energies · doi:10.3390/en18153930 · Cited by 2
Introduction to Techno-Economic Assessment of Renewable Energy Sources
Oskouei, M. Z., & Mohammadi‐Ivatloo, B. (2020) · Power systems · doi:10.1007/978-3-030-44376-4_1 · Cited by 2
Policy Analysis: Solar Substitution with Biodiesel
Herjanto, E., & Widana, I. D. K. K. (2016) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.33172/jp.v2i2.92 · Cited by 2
Catalyzed-like water enhanced mechanism of CO2 conversion to methanol
Hadjadj, R., Csizmadia, I. G., Mizsey, P., Viskolcz, B., & Fiser, B. (2020) · Arabian Journal of Chemistry · doi:10.1016/j.arabjc.2020.102955 · Cited by 2
A multi agent‐based optimisation model for the distribution planning and control of energy‐based intermittent renewable sources
Mohammed, N. A., & Al‐Bazi, A. (2021) · International Journal of Energy Research · doi:10.1002/er.7044 · Cited by 2
“The integration of renewable energy sources with storage devices and the latter's role in future power systems was studied.(27,28) investigated distributed energy storage devices considering optimal placement, sizing, and control.”
Background
Advanced Applications for Smart Energy Systems Considering Grid-Interactive Demand Response
Reinders, A. H. M. E. (2019) · MDPI eBooks · doi:10.3390/books978-3-03921-999-5 · Cited by 2
Enablers of management system resilience in wind power plant
Dashtpeyma, M., & Ghodsi, R. (2022) · International Journal of Ambient Energy · doi:10.1080/01430750.2022.2091030 · Cited by 3
“It should be noted that wind energy is an available and low-cost energy source that can be used in future new power production systems (Weitemeyer et al. 2015; Melimi, Singampalli, and Vulasala 2019).”
Exploring the Potentials and Challenges of Renewable Energy Sources
Schaefer, L. A., & Atreya, A. (2024) · Journal of Computing and Natural Science · doi:10.53759/181x/jcns202404009 · Cited by 2
Synthesis and electrochemical evaluation of 2‐substituted imidazolium salts
Hogan, D. T., & Sutherland, T. C. (2017) · Journal of Physical Organic Chemistry · doi:10.1002/poc.3784 · Cited by 2
Cellobiohydrolase: role in cellulosic bioconversion
Srivastava, N., Mishra, P. K., & Upadhyay, S. N. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-821010-9.00004-8 · Cited by 2
Novel Conceptual Architecture for the Next-Generation Electricity Markets to Enhance a Large Penetration of Renewable Energy
Rodríguez-García, J., Ribó-Pérez, D., Álvarez-Bel, C., & López, E. P. (2020) · Vide Leaf, Hyderabad eBooks · doi:10.37247/aer.1.2020.16 · Cited by 2
Prospects of distributed electricity generation and services based on small scale biomass systems in Ghana
Arranz-Piera, P. (2018) · doi:10.5821/dissertation-2117-125842 · Cited by 2
New contributions to frequency control based on virtual synchronous generators: application to power systems with high renewable energy sources integration
Fernández‐Guillamón, A. (2020) · doi:10.31428/10317/9230 · Cited by 2
Investigation into the Appropriate Sizing of Battery Energy Storage System for Frequency Control in a Renewable Integrated Power Grid
Aich, P., Jawad, A., & Roy, N. K. (2024) · International Conference on Electrical and Computer Engineering (ICECE) · doi:10.1109/icece64886.2024.11024779 · Cited by 1
“The BESS [4], [5] emerges as a notably effective solution for bolstering power grid frequency stability are introduced.”
Coordination in Energy Platforms: How Fairness Concerns and Market Power Shape Pricing and Profitability
Kong, L., & Wang, A. (2025) · Sustainability · doi:10.3390/su17188144 · Cited by 1
Deciphering the origin of the high capacities seen in magnesium borate polyanion cathodes
Tacconis, C., Dey, S., McLaughlin, C. D., Tripathy, D., Greer, H. F., Guan, S., Mikulska, I., Temprano, I., Grey, C. P., & Dutton, S. E. (2025) · Journal of Materials Chemistry A · doi:10.1039/d5ta07239e · Cited by 1
Integrating Distributed Renewable Energy Sources into Smart Grids: A Comprehensive Analysis
Kumar, R., Madan, H., Badhoutiya, A., Alazaidah, R., Owaied, H. Q., Singh, A. K., Almusawi, M., Kumar, A., & Giri, J. P. (2025) · Studies in systems, decision and control · doi:10.1007/978-3-031-89771-9_54 · Cited by 1
Energy efficiency measures and technologies for net zero
Munguía, N., Esquer, J., Guzman, H. M., Ochoa, M. Y., & Velazquez, L. E. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-36426-6.00004-6 · Cited by 1
Simultaneous Wind Speed Prediction at 10m and 100m deploying Machine Learning Model
Athish, J. D., S., M., Babu, G. A., Dhevsanjay, J., & Lekshmi, R. R. (2025) · IEEE International Conference on Sustainable Energy and Future Electric Transportation (SEFET) · doi:10.1109/sefet65155.2025.11255407 · Cited by 1
“Dwindling fossil fuel reserve and associated environmental impacts have played a crucial role in the transition from conventional to Renewable Energy Sources (RES) [1 – 3].”
System design issues of high renewable energy system, the case of Eritrea
Negash, T., Solomon, A. A., Ottermo, F., Möllerström, E., Farkas, I., & István, S. (2025) · Energy Policy · doi:10.1016/j.enpol.2025.114949 · Cited by 1
Integrated geologic and socio-economic evaluation of potential underground hydrogen storage sites in the Los Angeles Basin
Littlejohn, B., Saló‐Salgado, L., Plesch, A., & Shaw, J. H. (2025) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2025.152964 · Cited by 1
Robust Nonlinear Observer Design with Learning Applied to SOC Estimation in Li-Ion Batteries
de Bessa, I. V., Coutinho, D., & Robalo, T. S. (2026) · Journal of Control Automation and Electrical Systems · doi:10.1007/s40313-026-01248-y · Cited by 1
Analyzing how MIS can optimize the distribution of energy in smart grids, focusing on data-driven decision-making processes
Hossain, A., Oyebode, D. F., Imon, K. A. A., Faisal, S. M. W., & Vayyala, R. (2025) · Journal of Smart Internet of Things · doi:10.2478/jsiot-2025-0004 · Cited by 4
“For example, existing complex analytics forecast changes in wind and solar power availability and adjust energy supply correspondingly (Weitemeyer et al., 2015).”
Experimental Investigation on Thermochemical Energy Storage Performance of Al 2 O 3 / MgO Co‐Doped Calcium‐Based Composites for Solar Thermal Applications
Liu, C., Fan, Q., Sun, Y., Zhang, C., Yan, H., Liu, X., & Rao, Z. (2026) · Energy Storage · doi:10.1002/est2.70395 · Cited by 1
System-level analysis of energy storage requirements for large-scale renewable integration
Negash, T., Solomon, A. A., Ottermo, F., Möllerström, E., István, S., & Farkas, I. (2026) · Journal of Energy Storage · doi:10.1016/j.est.2026.123040 · Cited by 1
Solid-state hydrogen storage in metal hydrides: mechanistic insights into kinetics, activation, and destabilization strategies
Qayyum, M. N., Majid, A., & Raza, M. T. (2026) · RSC Advances · doi:10.1039/d6ra05276b · Cited by 1
“29 Furthermore, the material must possess high reversible H 2 storage capacity under operational conditions.”
Model predictive control-based energy management for microgrids in weak utility grid environments
Saha, S., Elliott, M., Huda, S., Abawajy, J., Jiang, F., Oo, A. M. T., Sun, Y., & Mao, T. (2026) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2026.112066 · Cited by 1
Damping of interarea oscillations of a wind farm based multimachine power system using an unified Power Flow Controller
Patnaik, R. K., & Routray, S. K. (2015) · IEEE Power, Communication and Information Technology Conference · doi:10.1109/pcitc.2015.7438210 · Cited by 1
Thermodynamic Analysis of Multi-stage Compression Adiabatic Compressed Air Energy Storage System
Liang, L., Hou, J., Fang, X., Han, Y., Song, J., Wang, L., Deng, Z., Xu, G., & Wu, H. (2021) · Springer eBooks · doi:10.1007/978-981-33-4765-6_146 · Cited by 1
Resourceful and characteristic evaluation of kish graphite in steel mill desulfurization slag
Kuo, S. (2022) · Journal of the Chinese Institute of Engineers · doi:10.1080/02533839.2022.2101537 · Cited by 1
“While there have been studies on methods to reuse desulfurization slag, these methods remain unable to turn desulfurization slag into a reusable resource (Weitemeyer et al. 2015).”
Background
Integration of power-to-gas (P2G) technologies in Operation of integrated gas-electricity networks
Mirzaei, M. A., Habibi, M., Vahidinasab, V., & Mohammadi‐Ivatloo, B. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90544-2.00012-9 · Cited by 1
A mixed-integer approximation of robust optimization problems with mixed-integer adjustments
Kronqvist, J., Li, B., & Rolfes, J. (2023) · Optimization and Engineering · doi:10.1007/s11081-023-09843-7 · Cited by 1
“One of the goals of power system optimization is to balance the use of renewable energy and system safety by setting the operating state and set points of inverters and storages.”
Navigating uncertainty: exploring electricity demand dynamics in Swedish industrial sectors amid global shocks and instability
Wadström, C., Johansson, M., & Uddin, G. S. (2023) · Energy Efficiency · doi:10.1007/s12053-023-10174-w · Cited by 1
“There is also ample literature concerning the technical aspects of power grid uncertainties and optimisation (Zheng et al., 2014), stemming from for example intermittent power generation (Weitemeyer et al., 2015).”
Background
Application of thermocouple sensors on hot stone for voltage generating in renewable energy
Rahman, A. H. A., Anuar, F. F., Roshidan, M. H. A., Sapiee, N. A., Ramli, N., Ahmad, I., Abu, M., & Mustaffa, M. U. S. (2019) · AIP conference proceedings · doi:10.1063/1.5118103 · Cited by 1
Complex systems applications to electric mobility and regional intermittent sources planning
Facchini, A., & Antonio Scala, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-814712-2.00016-6 · Cited by 1
Wind Turbine Systematic Wake to Wake Analysis: Quantification of Turbulence and Statistical Analysis for Optimal Wind Farm Design
Mark, H., Weerasekera, N. D., Biswas, A., & Cao, S. (2022) · Journal of Energy Research and Reviews · doi:10.9734/jenrr/2022/v11i330276 · Cited by 1
“The Weitemeyer protocol was used [18] to create a statistically reproducible turbulent inflow by controlling the motion of the active grid axis.”
Method
Simulating the flexibility potential of demand response with heat pumps in the Netherlands
van Etten, M. (2017) · Research Repository (Delft University of Technology) · Cited by 1
The Potential of Distributed Solar PV Capacity in Riyadh: A GIS-Assisted Study
Muhsen, A., & Elshurafa, A. M. (2019) · doi:10.30573/ks--2019-dp74 · Cited by 1
Evaluating the Role of Electricity Storage by Considering Short-Term Operation in Long-Term PlanningPreprint
Brijs, T., van Stiphout, A., Siddiqui, S., & Belmans, R. J. M. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2879310 · Cited by 1
Evaluation of grid-scale battery energy storage system as an enabler for large-scale renewable energy integration
Loji, N. (2022) · doi:10.51415/10321/4410 · Cited by 1
Bipolar isoindoline nitroxide for nonaqueous symmetrical redox flow battery
Loomans, B. I. (2023) · Queensland University of Technology · doi:10.5204/thesis.eprints.244730 · Cited by 1
Techno-economic optimisation of the mix of power system flexibility solutions
Heggarty, T. (2021) · theses.fr (ABES) · doi:10.70675/6253240az16c6z4bc7za8afz4cbe7e924a16 · Cited by 4
Energy Storage Optimization for Grid Reliability
Hashmi, M. U., Bušić, A., Deka, D., & Pereira, L. (2020) · ACM International Conference on Future Energy Systems (e-Energy) · doi:10.1145/3396851.3402123
“[18] looks at the impact of energy storage parameters such as capacity, ramping parameters and conversion efficiency on the impact of renewable integration.”
Background
Characterization of Mechanical and Electrochemical Properties of Silicon Based Electrodes for Li-ion Batteries
Sitinamaluwa, H. S. (2017) · Queensland University of Technology · doi:10.5204/thesis.eprints.107551
Micropile Operated Thermal Energy Storages below the Building
Lautkankare, R., Salomaa, N., Arola, T., & Lehtonen, J. (2018) · International Foundations Congress and Equipment Expo (IFCEE) · doi:10.1061/9780784481622.012
Electrochemical Fabrication of Nanostructured Metal Oxides for the Oxygen Evolution Reaction
Sayeed, M. A. (2018) · Queensland University of Technology · doi:10.5204/thesis.eprints.116769
Demand response in the domestic environment: An assessment of the potential of domestic heat pumps to provide ancillary services on the Dutch FCR market
Posma, J. (2018) · Utrecht University Repository (Utrecht University)
Robust Control of IPMSG Based Wind Energy Conversion Systems
Saha, S., Haque, M. E., & Gargoom, A. (2018) · IEEE International Conference on Power Electronics, Drives and Energy Systems · doi:10.1109/pedes.2018.8707672
“W IND energy systems (WESs) are emaging as one of the major renewable energy sources in recent years [1].”
Background
Reduction of CO2 emissions in isolated power systems using energy storage.
Piernagorda, C. O. P. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.3.2019.tde-19112019-152132
Robust supervisory approach for a variable speed micro-hydropower operating as a backup source
Belhadji, L., Ghennam, T., & Bacha, S. (2019) · European Conference on Power Electronics and Applications · doi:10.23919/epe.2019.8914756
ENVIRONMENTAL FACTORS IN ENERGY PRODUCTION OF TURKEY
Akıner, M. E. (2018) · doi:10.33422/irset.2018.12.26
Online Optimization for Demand Response
Lesage‐Landry, A. (2019) · TSpace (University of Toronto)
Maximizing Energy Storages Revenue Using Two-Level Model and Considering High Influence of Wind Resources and Market Balance Constraints
Najafi, M., & Derakhshan, S. (2021) · Signal Processing and Renewable Energy
Simulation of a Multilevel Storage Model for a Renewable German Electricity System
Wehrle, N., & Heindl, E. (2021) · Atlantis highlights in engineering/Atlantis Highlights in Engineering · doi:10.2991/ahe.k.210202.035
Coordinated Dynamic Use of Dispersed Flexibility to Maximize the Time-variant Aggregated Potential for Redispatch
Müller, B., & Lens, H. (2020) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2020.12.1076
Development of a Micropatterned ZSM-5 Model System
de Reijer, G. J. L. (2020) · Utrecht University Repository (Utrecht University)
Novel Operation Modes for Sharing Energy Storage: Concept, Functional Analysis and Pilot Project
Fang, B., Qiu, W., Wang, Y., Wei, Z., Zhang, Z., Pei, Y., Li, Y., & Lin, Z. (2021) · The 2nd International Conference on Computing and Data Science · doi:10.1145/3448734.3450924
Application of Modern Non-Linear Control Techniques for the Integration of Compressed Air Energy Storage with Medium and Low Voltage Grid
Mitra, S. K., Karanki, S. B., King, M., Li, D., Dooner, M., Kiselychnyk, O., & Wang, J. (2021) · Energies · doi:10.3390/en14144097
Transition towards a renewable European electricity system
Falcan, I. (2021) · doi:10.26481/dis.20210831if
Control of Energy Storage
Holderbaum, W. (2017) · MDPI eBooks · doi:10.3390/books978-3-03842-495-6
Analysis of the Application of Power-to-Gas (P2G) Technology in the Road Transport System of South AfricaPreprint
Litheko, L. A., Oboirien, B. O., & Patel, B. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3983819
Introduction
Hu, Z. (2020) · doi:10.1002/9781119189091.ch1
References
(2019) · Elsevier eBooks · doi:10.1016/b978-0-12-819556-7.16001-2
The Roles of Nuclear and Storage in Efficiently Eliminating Co2 Emissions from the Electric Generation SectorPreprint
Lamont, A. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4162556
Modelling and Thermodynamic Analysis of Small Scale Compressed Air Energy Storage Systems with Thermal RecoveryPreprint
Lakshmanan, S., & Gnanavel, K. (2020) · doi:10.46855/energy-proceedings-6981
The Cost of Renewable Electricity and Energy Storage in Germany
Wehrle, N. (2022) · European Journal of Business Science and Technology · doi:10.11118/ejobsat.2022.005
“Weitemeyer et al. (2015) state that with a lossless storage system in combination with full renewable electricity generation, the required energy capacity would amount to about 80 TWh, which is many times the capacity available today.”
Background
Advanced Modelling of Full Characteristic Curve of Tubular Turbine Based on Back-Propagation Neural Network
Wu, Y., Hu, Z., Jin, F., Tao, R., Xiao, R., & Zhu, D. (2022) · Advances in transdisciplinary engineering · doi:10.3233/atde220275
Modelling of an Ultraviolet based Hydrogen and Oxygen Generation System
Shahid, H., Rashid, U., Anwaar, H., Ijaz, M. F., Butt, F. A., Butt, M. S., & Chugtai, M. R. (2022) · International Conference on Electrical Engineering and Sustainable Technologies (ICEEST) · doi:10.1109/iceest56292.2022.10077857
“The sunlight has a wide spectrum ranging from ultraviolet (UV) to infrared (IR) that can be utilized for different applications such as photovoltaic energy conversion, photocatalysis, and thermolysis[6][7][8][9].”
Background
Robust Capital Cost Optimization of Generation and Multi-Timescale Storage Technology Requirements for a 100% Renewable Australian Electricity GridPreprint
Shaikh, R. A., Vowles, D. J., Dinovitser, A., Allison, A., & Abbott, D. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4482528
Combustion Behaviour of Ammonia/Hydrogen Blends and Cracked Ammonia MixturesPreprint
Ariemma, G. B., Sorrentino, G., de Joannon, M., Ragucci, R., & Sabia, P. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4582961
Climate Change Literacy Gamified: How Gamification Mechanics Affect User Experience Factors in the User Interfaces
Zhang, X. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-48050-8_27
Aplikasi Pengukuran Panel Generation Factor Pada Pembangkit Listrik Tenaga Surya Untuk Usaha Day Old Chicken Badan Usaha Milik Desa Sukosari
Novianto, D., Yuliantari, R. V., Trihasto, A., & Sihite, M. (2022) · Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming · doi:10.30591/japhb.v5i2.2932
“Perancangan pembangkit listrik tenaga surya disesuaikan dengan daya yang dibutuhkan dan Panel Generation Factor [1].”
Background
Monoethanolamine assisted CO2 hydrogenation to methanol – A computational study
Hadjadj, R., Csizmadia, I. G., Waleed, H. Q., Thbayh, D. K., Viskolcz, B., & Fiser, B. (2024) · Molecular Catalysis · doi:10.1016/j.mcat.2024.114091
Comprehensive Study on Ammonia/Hydrogen and Cracked Ammonia CombustionPreprint
Ariemma, G. B., Sorrentino, G., de Joannon, M., Ragucci, R., & Sabia, P. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4874704
Fundamentals of hydrogen production and use in a decarbonising power systemPreprint
Koning, V., Kramer, G. J., & van de Graaf, W. (2024) · Research Square · doi:10.21203/rs.3.rs-4924508/v1 · Cited by 1
Hintergrund
Wehrle, N. (2024) · Springer eBooks · doi:10.1007/978-3-658-44571-3_2
Fundamentals of energy systems: systems and assessments
Wright, M. M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-32-395215-6.00011-5
An Iteration-Based Minimum Inertia Requirement Assessment Method Considering Frequency Security Constraints
Li, H., Wang, Y., Gong, C., Wang, Z., Zhou, S., & Wen, Y. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-8780-7_35
Impact of Enhanced Wind Integration on Grid Capacity Expansion
Mahmud, Z., & Kurtz, S. (2024) · IEEE Energy Conversion Congress and Exposition (ECCE) · doi:10.1109/ecce55643.2024.10861749
“High integration of solar and wind in the grid can be complemented by energy storage as a crucial backup to mitigate their intermittent nature [2].”
Current Balancing Control for a Grid-Connected Inverter Under Grid Voltage Sag Using LMI
Choeung, C., Yay, S., Tang, H., Hut, S., San, S., Sovan, K., Soth, P., & Huy, V. (2025) · International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP) · doi:10.1109/ica-symp63674.2025.10876493
“The growing popularity of renewable energy sources within smart grids has significantly increased the demand for grid-connected inverters that are both efficient and reliable [1].”
Design of a Dual-Inverter Structure for a Point-to-Point Multifrequency Power Transfer
Genaro-Muñoz, X., Valderrama‐Blavi, H., & Giral, R. (2025) · IEEE Open Journal of Power Electronics · doi:10.1109/ojpel.2025.3552700
Smart grids and machine learning: Uncovering pitfalls and improving the robustness of models
Altamimi, E., Aly, H., Al-Ali, A. K., Al-Ali, A. K., & Malluhi, Q. M. (2026) · Energy Reports · doi:10.1016/j.egyr.2026.109483
Advanced Multilevel Power Conversion for Solar and Wind Integrated Energy Systems
Logeswaran, T., Johinth, P., V., M., Manivashagan, A., Prem, S., & Tamilarasu, P. (2025) · International Conference Trends Material Science and Inventive Materials · doi:10.1109/ictmim65579.2025.10988283
“In order to improve system efficiency and reliability, the study also focuses on optimizing control algorithms to manage a variety of operational modes and protection requirements[12].”
How Can Energy-System Models Inform Technology Development? Insights for Emerging Energy-Storage TechnologiesPreprint
Bertsch, V., Finke, J., Esser, K., Plaga, L. S., Mersch, M., Stelzer, J., Atakan, B., Fïchtner, W., Markides, C. N., & Sioshansi, R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5262884
The Contribution of Hydropower to Adequacy and Flexibility in Interconnected European Power System under Mid-Century Climate ConditionsPreprint
Hu, J., Capell, R., Bartošová, A., Bosshard, T., Béres, R., & van den Broek, M. A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5766915
Diseño y simulación de un sistema de respaldo trifásico tipo UPS para bombas centrífugas en pozos inyectores
Baquero, J. E. M., Villalobos, Y. F., Camacho, J. D., & Lourido, W. N. (2025) · Revista de Ingeniería Matemáticas y Ciencias de la Información · doi:10.21017/rimci.1136
Analysis of Optimal Capacity Configuration for Wind-Solar-Storage Systems in Clean Energy System
Xu, T. (2025) · International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT) · doi:10.1109/iceemt66565.2025.11281160
“To accommodate a high share of renewables, coordinated management of generation, grid infrastructure, load, and storage is indispensably required [4-5] .”
Feasibility analysis of pumped hydro energy storage at the United States Military Academy
Johnson, B., Koh, J. Z. X., & James, C. M. (2025) · Energy Reports · doi:10.1016/j.egyr.2025.11.117
Feasibility Analysis of Pumped Hydro Energy Storage at the United States Military AcademyPreprint
Johnson, B., Koh, J. M., & James, C. M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5536727
Critical Inertia Requirement Assessment Considering Virtual Inertia of Inverter-Based Resources
Wang, Y., Fu, G., Yang, K., Sun, H., & Zheng, W. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-4282-6_53
Unified Modeling Architecture for Load Management in Extreme Heat: The New York City Case
Elgalad, N., Madhusmita, S., Gamarro, H., Montoya-Rincon, J. P., Sookdar, K. P., Jensen, M. P., Yue, M., & González, J. E. (2026) · ASME Journal of Engineering for Sustainable Buildings and Cities · doi:10.1115/1.4071100
A Methodological Framework for Strategic Electricity Generation Planning in India: Assessing Resource Adequacy Through Probability Risk Metrics
Das, S. S., Majumdar, R., Krishnan, A. V., & Srikanth, R. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-3389-3_32
Electrolytes with organic-based active species for aqueous redox-flow battery
Lê, A. (2018) · doi:10.70675/1f715fbeza642z43f5z858fz89171ae9444f
Development of novel thermodynamic cycles of chemical heat pump for high-temperature heat lifting
Gao, Z., Yang, P., Zhang, Y., Yu, J., Xu, D., Jia, T., Ma, Y., Guo, H., & Dai, Y. (2026) · Energy · doi:10.1016/j.energy.2026.140937
Potentiels et limites météorologiques et climatiques d’un foisonnement des énergies renouvelables
Lassonde, S. (2018) · doi:10.70675/6cb2ff2cz11b9z4768zb160z9da2c26d4c3e
Metal organic frameworks as efficient photosensitizer for TiO₂ nanoarray anode and application to water splitting in PEC cells
You, S.-M. (2020) · doi:10.70675/1743fcb6zddc9z417az970dzd3e7b9fb0bcf
How do start-ups manage uncertainties of innovation ecosystem development? : The case of a start-up using Electric Vehicles for Corporate Employee Transport Service in Bangalore, India
Sawamura, H. (2021) · doi:10.70675/47c085dcz8cbdz4cd3z8a76zdb31659c5456
Advanced materials and system designs for latent heat storage in solar process heat and power generation
Jatav, A. K., & Reddy, K. S. (2026) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2026.131020 · Cited by 1

Authors: Weitemeyer, S., Kleinhans, D., Vogt, T., & Agert, C.
Affiliations: Carl von Ossietzky Universität Oldenburg (DE)
Corresponding author: Weitemeyer, Stefan
ORCID: Weitemeyer, Stefan
Kleinhans, David
Vogt, Thomas
Agert, Carsten
Venue: Renewable Energy
Publisher: Elsevier BV
Published: 2015-03
Volume: 75
Pages: 14-20
ISSN: 0960-1481 (ISSN-L)
DOI: 10.1016/j.renene.2014.09.028
OpenAlex: W2058391473
Cited by: 514
References: 24
Citations by year: 2026: 27 · 2025: 41 · 2024: 43 · 2023: 44 · 2022: 48 · 2021: 49 · 2020: 67 · 2019: 58 · 2018: 46 · 2017: 41 · 2016: 30 · 2015: 20
FWCI: 16.12
Type: journal article
Language: en
Open access: green
arxiv.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Renewable Energy (publishedVersion)
arXiv (Cornell University) (submittedVersion)
RePEc: Research Papers in Economics (submittedVersion)
arXiv (Cornell University)
Funders: German Federal Ministry of Education and Research (03SF0439A)
Lower Saxony Ministry for Science and Culture (MWK)
Topics: Physical Sciences › Engineering › Electrical and Electronic Engineering › Integrated Energy Systems Optimization
Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
Keywords: renewable energy integration, energy storage, storage efficiency, wind energy, solar energy, curtailment, flexible power plants, seasonal storage, power system modeling

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Integration of Renewable Energy Sources in future power systems: The role of storage

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks