Due to the uncertain level of production, wastage during peak hours and shortage during lean period-both are of extreme concern in designing microgrids or any grid that uses renewable energy. Therefore, predicting models for demand forecasting, demand shortfall and excess generation are of great importance in any operational grid that uses renewable as their significant energy source.
Clean” and “Curated” Data that we can complement in your modeling
Source
https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html (data converted from mTOE to TWh)
The dataset has hourly reports on the power production from various power sources (measured in megawatts).
GEOTHERMAL
BIOMASS
BIOGAS
SMALL HYDRO
WIND TOTAL
SOLAR PV
SOLAR THERMAL
1. Datasets outlining the quantity of terawatt hours (TWh) produced through various sources of energy, comparing both renewable and non-renewable sources, while highlighting the renewable use of the top 20 countries.
2. The Renewables Power Generation dataset includes a 1997-2017 timeline that outlines the progress of the main renewable energy sectors like Hydro, Wind, Biofuel, Solar PV, and Geothermal.
3. Additionally, the Top 20 Countries Power Generation dataset includes the national data for each of the renewable categories as outlined above. The last 2 datasets include the global TWh generated from renewable and non-renewable sources.
4. Two datasets which contain the global consumption figures on national and continental/international group levels, which help provide context about the quantity of energy required, how that is changing over time, and how users/cities are doing in terms of transitioning from non-renewable to renewable energy use.
References
https://techmonitor.ai/leadership/sustainability/ai-renewable-energy
https://www.hindawi.com/journals/complexity/2021/9951869/
https://www.sciencedirect.com/science/article/pii/S258900422100897X
Datasets
Philippines: Energy Use
This dataset consists of energy generated from mediums like
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Latvia - Electricity Production From Oil; Gas And Coal Sources (% Of Total)
| Electricity production from oil, gas and coal and other sources (% of total) in Latvia from 2004 to 2016 |
Global Energy Consumption & Renewable Generation
| Four of these datasets outline the quantity of terawatt hours (TWh) produced through various sources of energy, comparing both renewable and non-renewable sources, while highlighting the renewable use of the top 20 countries. The Renewables Power Generation dataset includes a 1997-2017 timeline that outlines the progress of the main renewable energy sectors : Hydro, Wind, Biofuel, Solar PV, and Geothermal. Additionally, the Top 20 Countries Power Generation dataset includes the national data for each of the renewable categories as outlined above. The last 2 datasets include the global TWh generated from renewable and non-renewable sources. |
Energy consumption worldwide from 2000 to 2018, with a forecast until 2050*
| Contains Energy consumption worldwide data between 2000 to 2018 from various renewable sources. |
Data Cleaning And Data Prep Tools Used By Our Team
The Project team will use the appropriate tools based on volume, location and nature of the client data and deliver the cleaned/formatted data with visualization or ingested in a database-whatever way a client will demand. They can also run initial POC with client suggested tools/machines to do initial QC of the data and feasibility of algorithmic solution.
Data Cleaning and Data Prep Tools used by our team
