The word "fluctuation" shows up in a lot of different contexts, most of the time without a formal definition and sometimes meaning many different things.
For example, in the context of statistical mechanics, S.F. Gull writes:
Suppose we use the Gibbs algorithm to set up an equilibrium ensemble, and
calculate the ensemble average of a quantity of interest $f$, together with its
variance $(\Delta f)^{2} \equiv \langle(f - \langle f \rangle)^{2} \rangle$. Now
$\Delta f$ certainly
represents our uncertainty about the quantity $f$ but, according to most
expositions of statistical mechanics, it is also supposed to indicate the level
of temporal fluctuations of $f$. Here again, then, is a misconception--the fact
that we are uncertain about the value of a quantity does not by itself mean
that it must be fluctuating! Of course, it might be fluctuating and if that
were the case, it would be a very good reason to be uncertain about its value.
Without further analysis, however, we simply do not know whether it actually
fluctuates. We have at last found a question in statistical mechanics where
ergodic considerations are important. We can sketch a partial answer to this
problem following Jaynes (1979).
We define
$$
\bar{f} = \frac{1}{T} \int{ f(t)\, dt }
$$
as a long-term time average and
$$
(\delta f)^{2} = \frac{1}{T} \int{ ( f(t) - \bar{f} )^{2} \, dt }
$$
as a long-term variance. Taking ensemble averages, we do indeed find that
$\langle f\rangle = \langle \bar{f}\rangle$; however
$$
\langle(\delta f)^{2} \rangle = (\Delta f)^{2} + (\Delta \bar{f})^{2}
$$
and this second term is not necessarily zero.
The situation is as follows: if a time average is taken over too short a time
interval, then the observed variation in $f$ can of course be \emph{less} than
the $\Delta f$ of the equilibrium ensemble. However, the long-term variation of $f$
can actually be greater than $\Delta f$, depending on a particular property of the
p.d.f. of the ensemble. Even then, although we can calculate
$\langle \bar{f}\rangle$ and $\langle(\delta f)^{2} \rangle$ as above, we still do not know
that these estimates are reliable; to do
that we have to examine higher-order correlations of the ensemble. The details
are again in Jaynes (1979).
The moral is that the Gibbs algorithm gives the uncertainty of our predictions,
not the observed temporal fluctuation. To say that a thermodynamic quantity
actually fluctuates (which, of course, it may well do) requires further,
decidedly non-trivial, analysis.
So while you often hear people talk about "thermal fluctuations" it may not be immediately clear whether what they're saying actually means anything or if it's just a fancy synonym for thermal effects.
The situation is quite similar in quantum mechanics. Quantities have intrinsic uncertainties due to a non-commuting observable algebra which may lead to the same confusion as above -- saying that a quantity "fluctuates" when all you're really allowed to say is that it's uncertain. And just as above, the expression "quantum fluctuations" is often used as a fancy synonym for quantum effects.
Now to add something more substantive than pure semantics to this discussion, consider the Casimir effect for a massless particle in one spatial dimension*. You are supposed to consider field configurations obeying certain boundary conditions, e.g.
$$\phi(0,t) = \phi(L,t)$$
There is no longer a continuum of possible modes. The expansion of the field in its Fourier modes would look something like:
$$\phi(x,0) = \sum_{k \in \mathbb{Z}} {a_k \exp\left(i \left(\frac{2 \pi k}{L}\right)x\right) + a^\dagger_k \exp\left(-i \left(\frac{2 \pi k}{L}\right)x\right)}$$
Our objective is to calculate the expectation value of the Hamiltonian in the vacuum state,
$$\langle 0 | H | 0 \rangle = \sum_{k \in \mathbb{Z} } \omega_k \langle 0 | a_k a^\dagger_k | 0 \rangle = \sum_{k \in \mathbb{Z} } \frac{2 \pi k }{L} $$
As it is, this sum is obviously divergent and requires regularization. I won't bother with that, since this is not the point of this post. See here if you're interested; just be aware that they used Dirichlet boundary conditions, and I used periodic boundary conditions.
The point of this example is to illustrate what people mean when they talk of "quantum fluctuations" between the plates. They are indeed related to the harmonic oscillator Hamiltonian for each Fourier mode, but the caveats noted in the related question linked by ACuriousMind apply -- there is an interesting discussion in the comments to his answer that you should read.
We can also connect this to "thermal fluctuations" by noting that one way to introduce finite temperature in field theories is to take a field theory defined in Euclidean space and introduce periodic boundary conditions in the (imaginary) time direction. This makes the analogy between these "quantum fluctuations" and "thermal fluctuations" precise, so that S.F. Gull's comments are directly applicable.
*Please don't take this example too seriously. That there can be no massless scalar field theories in two spacetime dimensions is a well known fact. The example itself is fine because the boundary conditions provide a natural infrared regulator but the interpretation in terms of parallel plates etc. is not.