GitHub

Publicly Available Datasets For Electric Load Forecasting

We found it difficult to find suitable datasets in the flood of information. So we came up with the idea of doing a proper search and making the results available to the public.
IEEE

A Novel Sequence to Sequence Data Modelling Based CNN-LSTM Algorithm for Three Years Ahead Monthly Peak Load Forecasting

Abstract: Long-term load forecasting (LTLF) models play an important role in the strategic planning of power systems around the globe. Obtaining correct decisions on power network expansions or ...
WHYY

Precedent-setting Pa. rate case would protect residential electricity customers from data center costs in PPL territory

File - A 235-kilovolt power line towers over farm buildings near where the local power utility plans to build a 500-kilovolt power line on towers as tall as 240 feet, March 4, 2026, in Sugarloaf, Pa. ...
IEEE

Adaptive Event-Triggered Sliding Mode Load Frequency Control for Cyber-Physical Power Systems Under False Data Injection Attacks

Abstract: As the new generation of power systems, cyber-physical power systems (CPPSs) become more intelligent and convenient with the application of communication networks. However, the existence of ...
KUT

Texas lawmakers held a hearing on data centers. Here are 4 key takeaways

The control room at the Electric Reliability Council of Texas from 2018. Data centers are popping up around Texas like fire ant hills after a rainstorm. Or maybe like bluebonnets in the spring. Either ...
Natural Gas Intel

Natural Gas Price Spreads Track Power Demand as Data Center Load Grows

Price spreads between major U.S. natural gas hubs are increasingly tied to flows into regional electric grids, with independent system operator (ISO)-linked locations, including SoCal Citygate, ...