Reference health

Application of artificial neural network and Soil and Water Assessment Tools in evaluating power generation of small hydropower stations

https://doi.org/10.1016/j.egyr.2020.08.010
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2 of 38 checkable references need attention · checked 2026-07-23

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

13 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

marked retracted — notice via Crossref, record curated by Retraction Watch10.1016/j.solener.2018.05.003
RETRACTED: Risk-assessment of photovoltaic-wind-battery-grid based large industrial consumer using information gap decision theory
marked retracted by the publisher10.1016/j.egyr.2020.05.023
RETRACTED: Assessment power generation potential of small hydropower plants using GIS software
The 36 checked references that resolve
resolves10.1016/j.egyr.2017.10.002
Multi-objective energy management in a micro-grid
resolves10.1007/s10614-017-9716-2
Extracting Appropriate Nodal Marginal Prices for All Types of Committed Reserve
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Nonrenewable energy—environmental and health effects on human capital: empirical evidence from Pakistan
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The prime criteria for private sector participation in renewable energy investment in the Middle East (case study: Iran)
resolves10.1016/j.jhydrol.2019.124367
Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins
resolves10.1016/j.jenvman.2020.110625
Evaluating SWAT model performance, considering different soils data input, to quantify actual and future runoff susceptibility in a highly urbanized basin
resolves10.1016/j.egyr.2019.11.013
Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
resolves10.1006/jtbi.2002.3065
Collective Memory and Spatial Sorting in Animal Groups
resolves10.1016/j.physa.2017.03.025
Collective motion of groups of self-propelled particles following interacting leaders
resolves10.3233/IFS-151807
Concordant controllers based on FACTS and FPSS for solving wide-area in multi-machine power system
resolves10.1016/j.jhazmat.2019.121137
Analysis of indium (III) adsorption from leachates of LCD screens using artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANIFS)
resolves10.1109/JSYST.2016.2633512
Planning in Microgrids With Conservation of Voltage Reduction
resolves10.3233/JIFS-152073
A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets
resolves10.1016/j.tej.2019.106692
Conventional hydroelectricity and the future of energy: Linking national inventory of dams and energy information administration data to facilitate analysis of hydroelectricity
resolves10.1016/j.engappai.2018.03.022
A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on Mixed Integer Genetic Algorithm
resolves10.1002/cplx.21668
Optimal preventive maintenance policy for electric power distribution systems based on the fuzzy AHP methods
resolves10.7836/kses.2018.38.4.043
Case Study : Assessment of Small Hydropower Potential Using Runoff Measurements
resolves10.13031/trans.13576
Multi-Variable Sensitivity Analysis, Calibration, and Validation of a Field-Scale SWAT Model: Building Stakeholder Trust in Hydrologic and Water Quality Modeling
resolves10.1016/j.applthermaleng.2018.04.008
Fuzzy-based heat and power hub models for cost-emission operation of an industrial consumer using compromise programming
resolves10.1016/j.aei.2018.02.006
A new wind power prediction method based on ridgelet transforms, hybrid feature selection and closed-loop forecasting
resolves10.1016/j.apm.2018.01.043
Combustion optimization of a boiler based on the chaos and Lévy flight vortex search algorithm
resolves10.1016/j.energy.2017.07.150
Electricity load forecasting by an improved forecast engine for building level consumers
resolves10.1007/s12652-017-0600-7
A new prediction model of battery and wind-solar output in hybrid power system
resolves10.1016/j.scitotenv.2020.136848
Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend
resolves10.1007/s00500-016-2360-2
A niching chaos optimization algorithm for multimodal optimization
resolves10.1016/j.applthermaleng.2018.11.122
Robust optimization based optimal chiller loading under cooling demand uncertainty
resolves10.1177/1070496519886005
The Politics of Renewable Energy Production in a Federal Context: The Deployment of Small Hydropower in the Swiss Cantons
resolves10.3390/w12041213
An Index-Flood Statistical Model for Hydrological Drought Assessment
resolves10.1016/j.jclepro.2019.118671
A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network
resolves10.1007/s10064-019-01572-5
Application of a GIS-based slope unit method for landslide susceptibility mapping along the rapidly uplifting section of the upper Jinsha River, South-Western China
resolves10.1016/j.jhydrol.2019.124359
Long-term optimal operation of cascade hydropower stations based on the utility function of the carryover potential energy
resolves10.3390/su12030767
A Compact Pigeon-Inspired Optimization for Maximum Short-Term Generation Mode in Cascade Hydroelectric Power Station
resolves10.3178/hrl.14.23
Potential for and feasibility of small hydropower generation at headworks in Japan
resolves10.1016/j.chaos.2006.04.057
On the efficiency of chaos optimization algorithms for global optimization
resolves10.1049/iet-rpg.2019.0485
Reliability constraint stochastic UC by considering the correlation of random variables with Copula theory
resolves10.1177/1077546319894810
Vibration transmission path identification in a hydropower house based on a time-delayed transfer entropy method
The 13 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.egyr.2020.08.010_b6
no DOI — not checkedThe price prediction for the energy market based on a new method
no DOI — not checkedA new formulation to reduce the number of variables and constraints to expedite SCUC in bulky power systems
no DOI — not checkedDevelopment and validation of active performance indicators of electrical safety using bow-tie and Bayesian network techniques case study: Oil and gas industries construction projects
no DOI — not checkedOptimal configuration and energy management for combined solar chimney, solid oxide electrolysis, and fuel cell: a case study in Iran
no DOI — not checkedA new optimization algorithm based on OCM and PCM solution through energy reserve
no DOI — not checkedEvaluation of the SWAT model for analysing the water balance components for the Upper Sabarmati basin
no DOI — not checked10.1016/j.egyr.2020.08.010_b25
no DOI — not checkedAn efficient JAYA algorithm with Lévy flight for non-linear channel equalization
no DOI — not checkedSWAT hydrological model for watershed management in Watrak river basin
no DOI — not checkedOptimal location for installing small hydropower plants on water supply pipelines
no DOI — not checkedHarnessing the potential of small hydropower in Cross River state of Southern Nigeria
no DOI — not checked10.1016/j.egyr.2020.08.010_b38
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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