Data for: Welfare-aware strategic demand control in an intelligent market-based framework: move towards sustainable Smart Grid
Welfare-aware intelligent optmization
Data for: Study on the Utilization Potential of Urban Solar Based on Deep Learning Technology: A Case Study of Wuhan, China
Solar energy utilization potential by coordinates in Wuhan
Data for: Energy-Saving Opportunities of Direct-DC Loads in Buildings
Data for plots for: Energy-Saving Opportunities of Direct-DC Loads in Buildings
Software/Code Tabular Data Dataset Document Text Data for: Experimental and numerical analysis of a reciprocating piston expander with variable valve timing for small-scale organic Rankine cycle power systems Data for: Decoupling of economic growth and emissions in China's cities: a case study of the Central Plains urban agglomeration
CO2 emissions in Central Plains urban agglomeration
Data for: Experimental Study of Photovoltaic Panel Mounting Configurations for Tube-Shaped Structures
Cost estimation and calculations spreadsheet, raw date from photovoltaic panel experiments, and Matlab code to graph data.
Tabular Data Dataset File Set Data for: Determination of the Transfer Capacity Region of Tie Lines in Electricity Markets: Theory and Analysis
The case data for the research
Data for: The Energy Implication of China's Food System Transformation
Matlab script and data for the article titled "The Energy Implication of China’s Food System Transformation"
Data for: Techno-economic evaluation of biomass-to-end-use chains based on densified bioenergy carriers (dBECs)
For the research article “Techno-economic evaluation of biomass-to-end-use chains based on densified bioenergy carriers (dBECs)” a simulation tool was created in the programming environment R for techno-economic comparison of generic biomass-to-end-use chains. The database and programming code are attached and the description of the data outlined in a separate document.
Data for: Web data extraction from System Operator's public-access website and its use in predicting and modeling the formation of the Spanish day-ahead electricity price
Raw table of ordered explanatory variables with autoregressive elements already calculated. This table was used to train the GBRT. Also the prediction results and the partial dependence analysis are provided.