- 👋 Hi, I’m @vsidaarth
- 👀 I’m interested in meta-heuristic optimization algorithms for microgrid energy mangement systems. Deep learning architectures for renewable energy forecasting.
- 🌱 I’m currently learning how to implement newly introuced deep learning architectures and newly introduced meta-heuristics
- 💞️ I’m looking to collaborate on the above mentioned topics
- 📫 How to reach me: email: vishnu.suresh@pwr.edu.pl.
Popular repositories Loading
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Transformer-Variants-for-Hour-Ahead-PV-Forecasting
Transformer-Variants-for-Hour-Ahead-PV-Forecasting PublicReproducible benchmark of PatchTST, Informer, FEDformer, Autoformer and DLinear for hour-ahead PV forecasting, with PatchTST calibrated using Adaptive Conformal Inference.
Jupyter Notebook 1
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Microgrid-Energy-Management-using-Metaheuristic-Optimization-Algorithms
Microgrid-Energy-Management-using-Metaheuristic-Optimization-Algorithms Public -
BalSun-NCN
BalSun-NCN PublicA novel evaluation framework for selecting the best solar farm locations: A case study of Lithuania and Poland
Jupyter Notebook 1
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Model-Agnostic-Probabilistic-Hour-Ahead-Solar-PV-Forecasting-Using-Adaptive-Conformal-Inference
Model-Agnostic-Probabilistic-Hour-Ahead-Solar-PV-Forecasting-Using-Adaptive-Conformal-Inference PublicModel-agnostic comparison of persistence, ARX, ridge, DLinear and LSTM for hour-ahead PV forecasting, with daily-reset Adaptive Conformal Inference.
Jupyter Notebook
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physics-mamba-zero-shot-forecasting
physics-mamba-zero-shot-forecasting PublicPhysics-constrained state-space learning for geographical zero-shot solar irradiance forecasting.
Python
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