Category: Green
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Time Series Forecasting of Hourly U.S.A. Energy Consumption – PJM East Electricity Grid
In the green energy sector, being able to forecast the electricity usage is a core part of any electricity retailer’s business. The business problem is as follows: Given the historical power consumption, what is the expected power consumption for the next 365 days? In this study, we will address the problem by building a reliable…
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Wind Farm AEP Optimization in SciPy – Horns Rev 1 Site
The post outlined the process of optimizing the Annual Energy Production (AEP) of the Horns Rev 1 wind farm using the SciPy algorithm. The results derived from SciPy were cross-validated using other optimizers such as Optuna and PyWake. The study iterates the importance of offshore wind farms in meeting Denmark’s goals of increased electricity generation.
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A Roadmap from Data Science to BI via ML
The blog post presents a comprehensive roadmap to Data Science (DS), providing an overview of career prospects, the field’s intersections with Mathematics, Statistics, and Computer Science, and its business relevance. The text details the earning potential of data scientists and the steps towards becoming one, including Data Analysis, Machine Learning, and Business Intelligence. It highlights…
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Towards Optimized ML Wildfire Prediction
Towards Optimized ML Wildfire Prediction: This Python case example stems from the initial research into ML/AI wildfire prediction using the dataset that was downloaded from the UCI Machine Learning Repository.
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ML/AI GHG Monitoring and Forecast
The graphs show monthly mean carbon dioxide measured at Mauna Loa Observatory, Hawaii. We extract some insights about the historical data and its statistical properties using the scikit-learn ML/AI Python library. We discovered that atmospheric CO2 concentration is expected to increase in future, highlighting the fact that emissions must be reduced, to ensure the prosperity…
