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Author

Santhosh Madasthu

Observed name: Madasthu Santhosh
Institution: Kakatiya University
ORCID: 0000-0002-4106-7557
Observed ORCID: 0000-0002-4106-7557
OpenAlex ID: A5079798283
Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction
2018 · Madasthu Santhosh, Chintham Venkaiah, et al. · Energy Conversion and Management · 215
Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review
2020 · Madasthu Santhosh, Chintham Venkaiah, et al. · Engineering Reports · 162
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Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine
2019 · Madasthu Santhosh, Chintham Venkaiah, et al. · Sustainable Energy Grids and Networks · 106
Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network
2022 · Vishalteja Kosana, Kiran Teeparthi, et al. · Electric Power Systems Research · 25
A novel and hybrid framework based on generative adversarial network and temporal convolutional approach for wind speed prediction
2022 · Vishalteja Kosana, Kiran Teeparthi, et al. · Sustainable Energy Technologies and Assessments · 24
A novel reinforced online model selection using Q-learning technique for wind speed prediction
2021 · Vishalteja Kosana, Kiran Teeparthi, et al. · Sustainable Energy Technologies and Assessments · 23
Hybrid convolutional Bi-LSTM autoencoder framework for short-term wind speed prediction
2022 · Vishalteja Kosana, Kiran Teeparthi, et al. · Neural Computing and Applications · 21
Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction
2023 · Bala Saibabu Bommidi, Vishalteja Kosana, et al. · Environmental Science and Pollution Research · 19
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A novel hybrid framework for wind speed forecasting using autoencoder‐based convolutional long short‐term memory network
2021 · Vishalteja Kosana, Santhosh Madasthu, et al. · International Transactions on Electrical Energy Systems · 15
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A hybrid approach to ultra short-term wind speed prediction using CEEMDAN and Informer
2022 · Bala Saibabu Bommidi, Vishalteja Kosana, et al. · National Power Systems Conference · 10
A novel dynamic selection approach using on-policy SARSA algorithm for accurate wind speed prediction
2022 · Vishalteja Kosana, Madasthu Santhosh, et al. · Electric Power Systems Research · 9
Meta‐heuristics algorithms for optimization of gains for dynamic voltage restorers to improve power quality and dynamics
2022 · Rajagopal Veramalla, Sabha Raj Arya, et al. · Optimal Control Applications and Methods · 8
Ensemble Deep Learning Model for Power System Outage Prediction for Resilience Enhancement
2023 · Santhosh Madasthu, Abdullah Al Mamun, et al. · North American Power Symposium (NAPS) · 7
Outage Data Analytics for Correlating Resilience and Reliability
2023 · Abdullah Al Mamun, Oussama Zenkri, et al. · North American Power Symposium (NAPS) · 5
Outage Forecast-based Preventative Scheduling Model for Distribution System Resilience Enhancement
2023 · Yiyun Yao, Weijia Liu, et al. · IEEE Power Engineering Society General Meeting · 5
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A Hybrid Forecasting Model Based on Artificial Neural Network and Teaching Learning Based Optimization Algorithm for Day-Ahead Wind Speed Prediction
2019 · Madasthu Santhosh, Chintham Venkaiah, et al. · Lecture notes in electrical engineering · 3
A Novel Wind Speed Forecasting Framework Using Data Preprocessing Based Adversarial Approach
2023 · Bala Saibabu Bommidi, Vishalteja Kosana, et al. · Green energy and technology · 1
Statistical Machine Learning-Based Electricity Demand Forecasting
2025 · Santhosh Madasthu, Srinivas Kottakonda · Lecture notes in electrical engineering
Works count: 18
Citation count: 658
H-index: 10
I10-index: 10
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