Forecasting energy demand feels like such a balancing act get it right, and policies can be proactive and effective; get it wrong, and trust starts to erode. I’ve been curious about how much confidence (or uncertainty) in these forecasts actually influences decision-makers. Do stricter margins of error lead to more cautious policies, or do they push innovation?
On the public side, it’s interesting how perception shifts when predictions miss the mark. If forecasts consistently overestimate demand, does that make people skeptical of future energy projects or pricing? Or does transparency about uncertainty actually build trust?
Would love to hear from anyone who’s dug into the data or has insights on how psychology plays into this especially when it comes to communicating risk and reliability in the energy sector. Crafting policies (and messages) that resonate feels like it needs both stats and a human touch.