The emergence of the sharing economy has fundamentally altered paradigms of resource utilization, shifting the emphasis from individual ownership to collective access. This transformation, evident across domains such as transportation, housing, and digital infrastructure, is increasingly penetrating the energy sector. In particular, Battery Energy Storage Systems (BESS) are being reconceptualized as shared assets capable of…
In this article, I review the research in the 2024 NeurIPS conference paper, From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection, by Wang et al. The paper explores integrating event analysis into LLM-based time-series forecasting models. Real-time text such as news articles or social media posts are underutilized in…
Photovoltaic (PV) systems are key to the transition toward clean energy, but their real-world performance is shaped by complex environmental interactions. For researchers working on the physics of solar energy systems, understanding how variables like temperature, humidity, aerosols, and wind impact panel efficiency provides a critical foundation for deeper modeling and analysis. This blog post…
Author: Hamidreza Zareipour Although all research presentations share a common goal of conveying content, the most effective ones are tailored to the specific context and audience. These factors can drastically shape both the content and style of your talk. Presenting your findings at a final thesis defence differs in essential ways from delivering a presentation…
Transformers, powered by scaling laws, have transformed the landscape of AI, but their performance in time series forecasting is less definitive. This post explores the effectiveness of transformers, the challenges of scaling, and the rise of specialized foundation models like TTM, MOMENT, and Chronos. Do these big models live up to the hype, or are…